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Search results for 'Precision Agriculture'

  • Precision Farming Solutions for Weeds in Soybean Farms

    By Vijayalaxmi Kinhal

    Updated Sep 10, 2020 

    Precision management solutions can reduce chemical use in several ways... Precision Farming Methods can Reduce Reliance on ChemicalsResearch to find new herbicides, which can control the resistant weeds, would take years to develop and these new treatments will also ultimately result in resistance... One of the solutions is the wider use of precision farming methods based on site-specific control... To use precision farming methods, we need Weed scouting systemsWeed management modelsPrecision weed control implementationThere are numerous methods and approaches used... (Source: Precision farming for weed management: techniques)Instead of walking in your fields, use precise and rapid technology...

    Categories: Precision Agriculture, Soybeans

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    How Precision Technology can Tackle Cotton’s Irrigation and Pests’ Challenges in the 2020s

    By Vijayalaxmi Kinhal

    Updated Aug 7, 2020 

    The high-value returns from cotton as well as the higher costs of production should be ample incentives for adopting precision farming... Need for Precision Farming While irrigation and pesticide treatments are necessary, it is important to also prioritize efficiency by reducing costs to increase farm revenue... Cotton growers, who have been using broad recommendations can use precision farming to finetune their irrigation to avoid higher water inputs and costs... More data is, therefore, necessary and precision farming can provide it. Precision farming also makes economic sense for cotton farms because they are usually large...

    Categories: Cotton, Irrigation, Precision Agriculture

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    New Agriculture in Kedah: A Move Towards MD2 Pineapple

    By Jenny Hoo

    Published Sep 30, 2019 

    Kedah is a state in northern Malaysia and is well known for its agriculture industry, especially in paddy planting. In Malaysia, according to 2016 statistics, about 700,000 hectare land is provided for paddy planting and average annual growth is projected at 0. 03 percent[1]. Compared to other south east Asian countries, Malaysia is positioned as the net rice importer and least rice production compared to Thailand, Indonesia, Vietnam and the Philippines. Malaysia imported 33 percent of their rice from Thailand, Vietnam and Pakistan while producing 67 percent of them locally, primarily in Kedah, Northern Perak and Selangor...

    Categories: Agribusiness, Precision Agriculture

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    Everyday agriculture using Artificial Intelligence: Benefits for the soybean industry

    By SHARATH CHANDRAN U.S

    Updated Aug 9, 2020 

    Artificial Intelligence or AI is perhaps one of the most popular topics in the 21st century. To simply state, AI is the process wherein the computers perform complex tasks instead of humans to save time, energy, and labor. AI has had a profound impact on all walks of life, making everyday life less demanding. Agriculture is one such industry that has been continuously benefited by AI... These countries practice agriculture on huge stretches of land and if not for the AI, it would be extremely difficult to manage and tackle the problems occurring in the different aspects of crop production...

    Categories: Precision Agriculture, Soybeans

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    Benefits of Blockchain Technology in Agriculture Industry

    By Jenny Hoo

    Published Sep 21, 2019 

    Blockchain in agriculture industrySince we have discussed at length blockchain model and system, what about its application in the agriculture industry? What role can blockchain play to resolve the challenges faced by not just the farmers, but also companies, consumers and the government? The concept of blockchain in agriculture industry started to gain attention in recent years... With blockchain technology, market participants, authorities, and consumers will be able to obtain the information of the agriculture of food produce, from the farm that it was planted, the factory it was processed and/or produced, to the market’s shelf where the consumer will do their purchases... With its DSTE chain, it will improve the condition in 3 major areas in the agriculture industry, namely food supply chain, food safety and financial services... In a nutshell, there is no doubt that blockchain has altered the way things work in the agriculture industry... Let’s anticipate a time of digital and IoT in the near future for agriculture industry where all farmers will hold digital device to monitor, sell, trade and conduct agriculture activities, all from one device...

    Categories: Agribusiness, Precision Agriculture

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    Canadian Agriculture & Equipment

    Public
    If You work in Agriculture or a business supporting it, you need to join this group. Let\'s connect and help each other out.
    Interest: Corn, Soybeans, Wheat, Vegetables, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    Agriculture, AgriTech And FoodTech

    Public
    Connected Business enterprises, SMEs, Social Enterprises, Nonprofit Organizations and Start-ups to Funding, Grants and Business opportunities in Agriculture, Livestock, Agrifood, AgriTech and FoodTech
    Interest: Corn, Cotton, Peanuts, Soybeans, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Precision Agriculture, Organic Row Crops, Irrigation, Agribusiness

    Precision Ag

    Public
    GPS, precision soil sampling, UAV\\\'s (drones) data acquisition and management, etc
    Interest: Precision Agriculture

    Social Media & Agriculture

    Public
    A place to share ideas, testimonials, and stories about bridging the gap between farmers and the end consumer. If you are passionate about telling your story, join now.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Marketing, Agribusiness

  • Jacob L Maurer United States, MN, Moorhead

    Business Title: RDO Equipment Co.
    Job Title: Agronomist
    About: I am an Agronomist for RDO Equipment Co. based in Moorhead, MN and cover a territory of North Dakota, South Dakota, and Minnesota. I have a Master of Agribusiness from Kansas State University and consult with growers on Precision Agriculture adoption.
    Interests: Corn, Soybeans, Wheat, Sorghum, Beef, Dairy, Swine, Ag Policy, Precision Agriculture, Marketing, Agribusiness

    Lauren Manning United States, CA, Sacramento

    Job Title: Attorney, Journalist, Professr
    Interests: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    AG HeadHunters United States, TN, Nashville

    Business Title: Better Your Workforce Better Your Company
    Job Title: Other Ag Professional, Ag Search Professional
    About: AG HeadHunters is a consulting firm focused on recruiting and training services for agriculture. We understand the complexities of finding, landing, and keeping talented employees; it is the greatest challenge and highest on-going cost of every company. Our mission is to assist our clients in effectively hiring critical employees that stay and remain engaged. Learn more at www.agheadhunters.com
    Interests: Canola, Corn, Cotton, Organic Row Crops, Peanuts, Rice, Sorghum, Soybeans, Wheat, Beef, Dairy, Feed, Grass-Fed Livestock, Poultry, Specialty Livestock, Swine, Crop Protection, Crop Scouting, Fertility, Irrigation, Soil Health, Sustainable Agriculture, Apps, Precision Agriculture, Telemetry, Ag Commentary, Marketing, News, Accounting and Bookkeeping, Ag Policy, Agribusiness, Farm Management, Farmland and Real Estate, Human Resources, Operating a Farm, Succession Planning, Taxes, Projects, Tools, Conservation Easements, Conservation Plans, Cover Crops, NRCS, Hemp, Orchard Crops, Organic Specialty Crops, Tree Nuts, Vegetables, Fishing, Homesteading, Horses, Hunting, Timber, Tobacco

    Mike Wandzell United States, CA, Fresno

    Business Title: Agri-Valley Irrigation
    Job Title: Other Ag Professional, Ag Irrigation
    About: Mike Wandzell is an Emmy-Award winning News Producer who left the TV industry to get back into Agriculture. He worked in Agriculture in the cotton and almond business growing up. Mike went to Fresno State, receiving a degree in Mass Communication. After winning the Emmy in 2016 in Television, Mike got back into agriculture. He now works in Irrigation California's Central Valley at Agri-Valley
    Interests: Corn, Cotton, Organic Row Crops, Crop Protection, Irrigation, Soil Health, Sustainable Agriculture, Apps, Precision Agriculture, Telemetry, Marketing, Agribusiness, Farm Management, Tools, Cover Crops, NRCS, Hemp, Orchard Crops, Organic Specialty Crops, Tree Nuts, Vegetables, Conservation Plans

    AgFuse Administrator United States, SC, Blenheim

    Business Title: AgFuse LLC
    Job Title: Other Ag Professional, Administrator
    About: AgFuse is a social media network created specifically to connect farmers and agriculture professionals throughout the world.
    Interests: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    Mary Ludwig United States, IL, Pontiac

    Business Title: Johnson & Taylor / Big O Farms
    Job Title: Attorney
    About: I grew up on a corn, soybean and hog farm in Vermilion County (near Danville), Illinois. I currently raise corn and soybeans with my husband near Pontiac, Illinois. I also am a partner at the law firm of Johnson & Taylor, in Pontiac, with my practice emphasizing on agricultural law, estate planning, real estate, tax and municipalities. I love that I am able to combine my love of agriculture and farming with my law practice and it is a great benefit to me and my clients that I have extensive personal experience with farming and agricultural transactions.
    Interests: Corn, Soybeans, Wheat, Vegetables, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Marketing, Agribusiness, Agricultural Law

    Fito Chem Mexico, Mexico City, Mexico City

    Business Title: Fitochem
    Job Title: Precision Agriculture Specialist
    About: Fulvic acid for agriculture is the most valuable input in biological agriculture. Fitochem provides certified OMRI products to boost up plants' quality and enhance soil quality to help in the growth of plants. For more details, click here- https://en.fitochem.com/2019/06/10/benefits-effects-of-fulvic-acids-for-agriculture-mexico/
    Interests: Precision Agriculture, Farm Management

    Nisha Patel India, Gujarat, Ahmedabad

    Business Title: Farm
    Job Title: Manager
    About: M.Sc. Agriculture post-graduate course in the scientific process of agriculture and agricultural studies.
    Interests: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    Mattie Hill United States, NY, Bronxville

    Business Title: Mattie Hill Farms
    Job Title: Agricultural Engineer
    About: An Agricultural Engineer, Consultant, Realtor and Investor who's interest is to contribute positively in Agriculture by improving technologies to boost food production and ensure food safety. Hit me up for further details
    Interests: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    OCTAVIA JIMERSON United States, IN, Indianapolis

    Business Title: Bustle Box Marketing
    Job Title: Agri-preneur
    About: I am a mother who wants to help make a positive impact on the perception of agriculture to future generations.
    Interests: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Timber, Marketing, Agribusiness, Hemp

  • Canadian Agriculture & Equipment

    Public
    If You work in Agriculture or a business supporting it, you need to join this group. Let\'s connect and help each other out.
    Interest: Corn, Soybeans, Wheat, Vegetables, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    Agriculture, AgriTech And FoodTech

    Public
    Connected Business enterprises, SMEs, Social Enterprises, Nonprofit Organizations and Start-ups to Funding, Grants and Business opportunities in Agriculture, Livestock, Agrifood, AgriTech and FoodTech
    Interest: Corn, Cotton, Peanuts, Soybeans, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Precision Agriculture, Organic Row Crops, Irrigation, Agribusiness

    Precision Ag

    Public
    GPS, precision soil sampling, UAV\\\'s (drones) data acquisition and management, etc
    Interest: Precision Agriculture

    Social Media & Agriculture

    Public
    A place to share ideas, testimonials, and stories about bridging the gap between farmers and the end consumer. If you are passionate about telling your story, join now.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Marketing, Agribusiness

    Go Unmanned

    Public
    Go Unmanned sells drones, drone training, and drone services across the East Coast. Drones already have been used in Precision Agriculture, forestry,horticulture,greenhouses, vineyards,and livestock.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

    The Crossover

    Public
    The Crossover is a group that applies mental models from other fields and interests back into the world of agriculture.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Irrigation, Marketing, Agribusiness

    Atomation

    Public
    Atomation is an Internet of Things (IoT) company that connects agriculture equipment to the cloud making the object "alive or smart" and able to communicate previously unavailable data.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Cover Crops, Precision Agriculture, Irrigation, Agribusiness

    Nationwide Farm Insurance

    Public
    Our commitment to agriculture began in 1909, through decades of service we have earned our position as the #1 farm insurer in the country. Let our expertise help protect your future.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Agribusiness

    Ag Industry News And Insights

    Public
    Here’s a place to spread the word concerning announcements and insights that the whole ag industry may be interested in.
    Interest: Corn, Cotton, Peanuts, Soybeans, Wheat, Vegetables, Rice, Canola, Sorghum, Beef, Dairy, Poultry, Swine, Cover Crops, Ag Policy, Precision Agriculture, Organic Row Crops, Irrigation, Timber, Marketing, Agribusiness

  • Precision Farming Solutions for Weeds in Soybean Farms

    By Vijayalaxmi Kinhal

    Updated Sep 10, 2020 

    Precision management solutions can reduce chemical use in several ways... Precision Farming Methods can Reduce Reliance on ChemicalsResearch to find new herbicides, which can control the resistant weeds, would take years to develop and these new treatments will also ultimately result in resistance... One of the solutions is the wider use of precision farming methods based on site-specific control... To use precision farming methods, we need Weed scouting systemsWeed management modelsPrecision weed control implementationThere are numerous methods and approaches used... (Source: Precision farming for weed management: techniques)Instead of walking in your fields, use precise and rapid technology...

    Categories: Precision Agriculture, Soybeans

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    How Precision Technology can Tackle Cotton’s Irrigation and Pests’ Challenges in the 2020s

    By Vijayalaxmi Kinhal

    Updated Aug 7, 2020 

    The high-value returns from cotton as well as the higher costs of production should be ample incentives for adopting precision farming... Need for Precision Farming While irrigation and pesticide treatments are necessary, it is important to also prioritize efficiency by reducing costs to increase farm revenue... Cotton growers, who have been using broad recommendations can use precision farming to finetune their irrigation to avoid higher water inputs and costs... More data is, therefore, necessary and precision farming can provide it. Precision farming also makes economic sense for cotton farms because they are usually large...

    Categories: Cotton, Irrigation, Precision Agriculture

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    New Agriculture in Kedah: A Move Towards MD2 Pineapple

    By Jenny Hoo

    Published Sep 30, 2019 

    Kedah is a state in northern Malaysia and is well known for its agriculture industry, especially in paddy planting. In Malaysia, according to 2016 statistics, about 700,000 hectare land is provided for paddy planting and average annual growth is projected at 0. 03 percent[1]. Compared to other south east Asian countries, Malaysia is positioned as the net rice importer and least rice production compared to Thailand, Indonesia, Vietnam and the Philippines. Malaysia imported 33 percent of their rice from Thailand, Vietnam and Pakistan while producing 67 percent of them locally, primarily in Kedah, Northern Perak and Selangor...

    Categories: Agribusiness, Precision Agriculture

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    Everyday agriculture using Artificial Intelligence: Benefits for the soybean industry

    By SHARATH CHANDRAN U.S

    Updated Aug 9, 2020 

    Artificial Intelligence or AI is perhaps one of the most popular topics in the 21st century. To simply state, AI is the process wherein the computers perform complex tasks instead of humans to save time, energy, and labor. AI has had a profound impact on all walks of life, making everyday life less demanding. Agriculture is one such industry that has been continuously benefited by AI... These countries practice agriculture on huge stretches of land and if not for the AI, it would be extremely difficult to manage and tackle the problems occurring in the different aspects of crop production...

    Categories: Precision Agriculture, Soybeans

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    Benefits of Blockchain Technology in Agriculture Industry

    By Jenny Hoo

    Published Sep 21, 2019 

    Blockchain in agriculture industrySince we have discussed at length blockchain model and system, what about its application in the agriculture industry? What role can blockchain play to resolve the challenges faced by not just the farmers, but also companies, consumers and the government? The concept of blockchain in agriculture industry started to gain attention in recent years... With blockchain technology, market participants, authorities, and consumers will be able to obtain the information of the agriculture of food produce, from the farm that it was planted, the factory it was processed and/or produced, to the market’s shelf where the consumer will do their purchases... With its DSTE chain, it will improve the condition in 3 major areas in the agriculture industry, namely food supply chain, food safety and financial services... In a nutshell, there is no doubt that blockchain has altered the way things work in the agriculture industry... Let’s anticipate a time of digital and IoT in the near future for agriculture industry where all farmers will hold digital device to monitor, sell, trade and conduct agriculture activities, all from one device...

    Categories: Agribusiness, Precision Agriculture

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    Variable-Rating Fertilizer: Does It Pay Off?

    By Laura Barrera

    Updated May 12, 2020 

    51 “Over several thousand acres, the savings are substantial and help pay for precision agriculture upgrades,” the authors say... ” As the USDA points out in its Economic Research Service report “Farm Profits and Adoption of Precision Agriculture,” the average farm operating profits for precision ag adopters was $66 per acre higher than nonadopters, but added that this average came from across different farm sizes and adopters had farms averaging 480 acres larger than nonadopters... However, adoption of variable-rate, which was the costliest precision ag technology the report looked at, was lower than the other technologies examined on all farm sizes... Unlike other precision ag systems, the profitability of variable-rate technology does not change after including the farm size scale effect. Chart from Farm Profits and Adoption of Precision Agriculture...

    Categories: Precision Agriculture

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    What Agribusiness Data Can and Can't Tell You

    By Marjorie Valin

    Published Aug 2 

    In agribusiness, big data means collecting everything... Having worked on dispatch software for equipment managers, communication software, ordering software, portfolio recommendations, and generally the entire pipeline of precision agriculture, we’ve seen a need to connect each of these components to provide a higher-order, holistic approach... Our precision ag firm has been working on allowing greater control and insight of all the algorithms and models that drive the recommendations. To meld the algorithm and the human instinct, we look at a few things:Rationale — why the algorithm chose a particular recommendationPrecision insight — how does this recommendation affect the specific area to which it is appliedPortfolio overview — how does the individual recommendation incorporate into your priorities across the whole farmPrediction — with different scenarios, what are the expected outcomesWith these elements in hand, you can trust that the process is focused on specific opportunities that fit into broader priorities... The algorithms and data we have generated have led to:Localized weather predictions, both short-term and climatologicalTrial runs for proof of performanceSoil sampling and management zone creationPrecision Scouting Satellite imagery interpretationWant to know how data has been used successfully and when and why it’s failed? We’d be happy to walk you through some common use cases...

    Categories: Agribusiness, Precision Agriculture, Sustainable Agriculture

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    How Farmers Conduct Their Own On-Farm Research to Improve Production

    By Laura Barrera

    Updated Mar 1 

    With last year’s season completed and this year’s yet to begin, now is a natural time to reflect on your farm’s performance and how you can improve in the future... Their father, Jay, was not a farmer, so he got involved with Louisiana State University’s (LSU) Ag Center to learn about agriculture, which eventually led to them conducting on-farm research projects together... Four years ago they went to a PrecisionPlanting planter, which has all electric-drive and high-speed mechanics. The Hardwicks' PrecisionPlanting planter... “The precision that comes along with those planters really allows to perform those checkerboard plots,” Mead says...

    Categories: Farm Management, Operating a Farm, Precision Agriculture

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    Agricultural Drones | Their Role in Agricultural Purposes

    By Payal Deshmukh

    Published Feb 21, 2019 

    Where Do Drones Fit in The Agriculture Sector?Find more and get free sample: http://bit. ly/2E44ujhThanks to new agriculture drones, farmers are using high-precision methods for geo-tagging aerial images. Unmanned aerial vehicles (UAVs) or drones can help farmers keep a track of their fields and livestock, which can prevent diseases. Drones provide information regarding soil, fruits, crops, and weeds. These devices aid in crop scouting and alert users in making the right decisions about pesticides & fertilizers...

    Categories: Agribusiness, Marketing, Precision Agriculture

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    Ag-Analytics® and Farm Flight Launch Fully Remote On-Demand UAV Service

    By Sam Baker

    Published Apr 25, 2020 

    Ag-Analytics® (https://analytics. ag/uav) announced the launch of its long-awaited fully remote, on-demand UAV Service – a custom flight service to assist farmers by providing fast, cost-effective UAV flights and machine learning analysis. The cost starts as low as $210 for a 60-acre field or $2... The Ag-Analytics On-Demand UAV Service captures high precision data from fields using gigapixel imagery... ag/uav or view this promotional video: About Ag-AnalyticsAg-Analytics specializes in the analysis of precision agriculture data...

    Categories: Agribusiness, Irrigation, Precision Agriculture

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  • I'm looking for an agribusiness writer

    By Marjorie Valin

    Published Jul 30 

    Does anyone know a writer with agribusiness, digital or prescription ag experience? Or an agribusiness expert with writing experience? We're looking for someone to develop content with experience on the agriculture and tech/business side. Please reach out to me here or on Linkedin.

    Categories: Sustainable Agriculture, Precision Agriculture, Agribusiness

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    Can NVDI be used to estimate biomass tonnage in cover crops?

    By Pat Rogers

    Published Feb 15 

    Categories: Crop Scouting, Precision Agriculture

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    Will we see automated drone sprayers in the future?

    By Pat Rogers

    Published Feb 24 

    What is the likelihood that we will see drones spraying commodity value crops like corn and soybeans in the near future? Will this ever be cost effective and efficient enough to replace airplane spraying or even in field sprayers?

    Categories: Corn, Crop Protection, Precision Agriculture

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    What farm analytics services have you used?

    By Anonymous Member

    Published Mar 25 

    Looking for recommendations: What farm analytics services have you used? What do you like and don't like about them?

    Categories: Crop Scouting, Precision Agriculture

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    What social media platform will take the place of Facebook?

    By Anonymous Member

    Published Jan 12 

    Currently, Facebook is highest social media platform among the Agriculture industry, due to the recent fallout, do you for see the Agriculture industry moving to another platform? If so, which one and why?

    Categories: Marketing

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  • Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context

    Authors: Francisco Javier Ferrández-Pastor, Juan Manuel García-Chamizo, Mario Nieto-Hidalgo and José Mora-Martínez

    Journal: Sensors 2018, 18(6), 1731

    Publisher: MDPI

    The Internet of Things (IoT) has opened productive ways to cultivate soil with the use of low-cost hardware (sensors/actuators) and communication (Internet) technologies. Remote equipment and crop monitoring, predictive analytic, weather forecasting for crops or smart logistics and warehousing are some examples of these new opportunities. Nevertheless, farmers are agriculture experts but, usually, do not have experience in IoT applications. Users who use IoT applications must participate in its design, improving the integration and use. In this work, different industrial agricultural facilities are analysed with farmers and growers to design new functionalities based on IoT paradigms deployment. User-centred design model is used to obtain knowledge and experience in the process of introducing technology in agricultural applications. Internet of things paradigms are used as resources to facilitate the decision making. IoT architecture, operating rules and smart processes are implemented using a distributed model based on edge and fog computing paradigms. A communication architecture is proposed using these technologies. The aim is to help farmers to develop smart systems both, in current and new facilities. Different decision trees to automate the installation, designed by the farmer, can be easily deployed using the method proposed in this document.

    Picture: Agricultural System (credits: Francisco Javier Ferrández-Pastor, Juan Manuel García-Chamizo, Mario Nieto-Hidalgo and José Mora-Martínez)

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    Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context

    Authors: Francisco Javier Ferrández-Pastor, Juan Manuel García-Chamizo, Mario Nieto-Hidalgo and José Mora-Martínez

    Journal Title: Sensors

    ISSN: 1424-8220 (Print)

    Publisher: MDPI AG

    The Internet of Things (IoT) has opened productive ways to cultivate soil with the use of low-cost hardware (sensors/actuators) and communication (Internet) technologies. Remote equipment and crop monitoring, predictive analytic, weather forecasting for crops or smart logistics and warehousing are some examples of these new opportunities. Nevertheless, farmers are agriculture experts but, usually, do not have experience in IoT applications. Users who use IoT applications must participate in its design, improving the integration and use. In this work, different industrial agricultural facilities are analysed with farmers and growers to design new functionalities based on IoT paradigms deployment. User-centred design model is used to obtain knowledge and experience in the process of introducing technology in agricultural applications. Internet of things paradigms are used as resources to facilitate the decision making. IoT architecture, operating rules and smart processes are implemented using a distributed model based on edge and fog computing paradigms. A communication architecture is proposed using these technologies. The aim is to help farmers to develop smart systems both, in current and new facilities. Different decision trees to automate the installation, designed by the farmer, can be easily deployed using the method proposed in this document.

    Photo: Automated greenhouses: main subsystems in current facilities (credits: Francisco Javier Ferrández-Pastor, Juan Manuel García-Chamizo, Mario Nieto-Hidalgo and José Mora-Martínez)

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    Precision Agriculture Techniques and Practices: From Considerations to Applications

    Authors: Uferah Shafi,Rafia Mumtaz, José García-Nieto, Syed Ali Hassan, Syed Ali Raza Zaidi andNaveed Iqbal

    Journal Title: Sensors

    ISSN: 1424-8220 (Online)

    Publisher: MDPI AG

    Internet of Things (IoT)-based automation of agricultural events can change the agriculture sector from being static and manual to dynamic and smart, leading to enhanced production with reduced human efforts. Precision Agriculture (PA) along with Wireless Sensor Network (WSN) are the main drivers of automation in the agriculture domain. PA uses specific sensors and software to ensure that the crops receive exactly what they need to optimize productivity and sustainability. PA includes retrieving real data about the conditions of soil, crops and weather from the sensors deployed in the fields. High-resolution images of crops are obtained from satellite or air-borne platforms (manned or unmanned), which are further processed to extract information used to provide future decisions. In this paper, a review of near and remote sensor networks in the agriculture domain is presented along with several considerations and challenges. This survey includes wireless communication technologies, sensors, and wireless nodes used to assess the environmental behaviour, the platforms used to obtain spectral images of crops, the common vegetation indices used to analyse spectral images and applications of WSN in agriculture. As a proof of concept, we present a case study showing how WSN-based PA system can be implemented. We propose an IoT-based smart solution for crop health monitoring, which is comprised of two modules. The first module is a wireless sensor network-based system to monitor real-time crop health status. The second module uses a low altitude remote sensing platform to obtain multi-spectral imagery, which is further processed to classify healthy and unhealthy crops. We also highlight the results obtained using a case study and list the challenges and future directions based on our work.

    Figure: System deployed across the wheat fields. Credits: Uferah Shafi,Rafia Mumtaz, José García-Nieto, Syed Ali Hassan, Syed Ali Raza Zaidi andNaveed Iqbal

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    Precision agriculture classification using convolutional neural networks for paddy growth level

    Authors: Indri Neforawati, Nanna Suryana Herman and Othman Mohd

    Published under licence by IOP Publishing Ltd

    Journal of Physics: Conference Series, Volume 1193, conference 1

    Precision Agricultural is a key component of modern agricultural. Several researchers tried to use various machine learning models as precision agricultural classification and recognition model, but surprisingly merely few researchers use Deep learning models to solve precision agriculture problems like Paddy Classification, Plant Classification or Fruit Classification. In this research, Precision Agriculture Classification on Paddy Image Dataset was performed using Convolutional Neural Networks. Paddy should be catered well in order tomonitor time to harvest, time to watering, and other tasks. The result of classification, we obtained 82% overall accuracy.

    Illustration Photo: Paddy plants (Image by Sanjay Sarkar from Pixabay)

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    Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics

    Authors: Athanasios Balafoutis, Bert Beck, Spyros Fountas, Jurgen Vangeyte, Tamme van der Wal, Iria Soto, Manuel Gómez-Barbero, Andrew Barnes and Vera Eory


    Journal Title: Sustainability

    ISSN: 2071-1050 (Online)

    Publisher: MDPI AG

    Agriculture is one of the economic sectors that affect climate change contributing to greenhouse gas emissions directly and indirectly. There is a trend of agricultural greenhouse gas emissions reduction, but any practice in this direction should not affect negatively farm productivity and economics because this would limit its implementation, due to the high global food and feed demand and the competitive environment in this sector. Precision agriculture practices using high-tech equipment has the ability to reduce agricultural inputs by site-specific applications, as it better target inputs to spatial and temporal needs of the fields, which can result in lower greenhouse gas emissions. Precision agriculture can also have a positive impact on farm productivity and economics, as it provides higher or equal yields with lower production cost than conventional practices. In this work, precision agriculture technologies that have the potential to mitigate greenhouse gas emissions are presented providing a short description of the technology and the impacts that have been reported in literature on greenhouse gases reduction and the associated impacts on farm productivity and economics. The technologies presented span all agricultural practices, including variable rate sowing/planting, fertilizing, spraying, weeding and irrigation.

    Illustration Photo: In the early 2000s, a NASA-funded researcher at BioServe Space Technologies, a nonprofit, NASA-sponsored research center located at the University of Colorado-Boulder, connected to NASA’s Marshall Space Flight Center in Huntsville, Alabama, at the time, looked at possible relationship between water content and leaf rigidity and whether the data relating to that relationship can be monitored by sensors. The concept was later commercialized by AgriHouse Brands Ltd. in a sensor that can be placed on a leaf to directly measure its water content. This data, along with overall plant health, is relayed to farmers’ computers; the system can then send text messages alerting farmers of crops that need watering. Whereas traditional irrigation methods typically water plants more often than is needed, precision agriculture, enabled by the leaf sensor, saves not only water but also the precious commodities of time and money. (credits: NASA's Marshall Space Flight Center / Flickr Creative Attribution-NonCommercial 2.0 Generic (CC BY-NC 2.0))

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    Posted By AgFuse Administrator
    Jun 5, 2017 

    "What’s around the bend for precision agriculture? It’s difficult to predict precisely where precision ag will eventually flow, but without question, the current is phenomenally fast. A new information-packed report from the Context Network offers a look behind the veil and carries significant implications for growers, retailers, industry professionals, and ag companies. Looking beyond the hardware tools on ag machinery and monitoring equipment, the report details a turn toward data integration, which represents transformative shift from precision ag to decision ag. . . .
    "Farming has entered a period when data convergence, collection and storage are headed toward synchronization. The computer processing power related to data enables extensive analytics and wider insights to push yields, not only on individual farms, but as an aggregate from operations with similar climates and soil types to offer benchmarking."
    https://www.agweb.com/article/data-integration-leads-to-decision-ag-naa-chris-bennett/
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    Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

    Authors: Ovidiu, John Cherbini, Robert Johnson, Andy Lyons and Maggi Kelly

    Journal: Drones 2018, 2(4), 39

    Publisher: MDPI

    Remote sensing is important to precision agriculture and the spatial resolution provided by Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for measurement crop condition and yields over the growing season, for identifying and monitoring weeds and other applications. Monitoring of individual trees for growth, fruit production and pest and disease occurrence remains a high research priority and the delineation of each tree using automated means as an alternative to manual delineation would be useful for long-term farm management. In this paper, we detected citrus and other crop trees from UAV images using a simple convolutional neural network (CNN) algorithm, followed by a classification refinement using superpixels derived from a Simple Linear Iterative Clustering (SLIC) algorithm. The workflow performed well in a relatively complex agricultural environment (multiple targets, multiple size trees and ages, etc.) achieving high accuracy (overall accuracy = 96.24%, Precision (positive predictive value) = 94.59%, Recall (sensitivity) = 97.94%). To our knowledge, this is the first time a CNN has been used with UAV multi-spectral imagery to focus on citrus trees. More of these individual cases are needed to develop standard automated workflows to help agricultural managers better incorporate large volumes of high resolution UAV imagery into agricultural management operations.

    Illustration Photo: California Citrus (credits: Jasperdo / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

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    Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review

    Authors: Haider Mahmood Jawad, Rosdiadee Nordin, Sadik Kamel Gharghan, Aqeel Mahmood Jawad and Mahamod Ismail

    Journal: Sensors 2017, 17(8), 1781; https://doi.org/10.3390/s17081781

    Publisher: MDPI

    Wireless sensor networks (WSNs) can be used in agriculture to provide farmers with a large amount of information. Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. These approaches may also increase the number of opportunities for processing Internet of Things (IoT) data.

    Picture: Example of farm field-based Internet of Things (IoT) and provided by a solar cell battery charger: (a) Agriculture sensor node with related sensor and solar cell, (b) Sink and actuator nodes, and (c) Gateway node and cloud computing. (credits: Haider Mahmood Jawad, Rosdiadee Nordin, Sadik Kamel Gharghan, Aqeel Mahmood Jawad and Mahamod Ismail )

    Check more https://adalidda.com/posts/dEWyjZcczuyk44ZQw/energy-efficient-wireless-sensor-networks-for-precision
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    Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges

    Authors: Pasquale Tripodi, Daniele Massa, Accursio Venezia and Teodoro Cardi

    Journal: Agronomy 2018, 8(4), 57; https://doi.org/10.3390/agronomy8040057

    Publisher: MDPI

    Increasing the ability to investigate plant functions and structure through non-invasive methods with high accuracy has become a major target in plant breeding and precision agriculture. Emerging approaches in plant phenotyping play a key role in unraveling quantitative traits responsible for growth, production, quality, and resistance to various stresses. Beyond fully automatic phenotyping systems, several promising technologies can help accurately characterize a wide range of plant traits at affordable costs and with high-throughput. In this review, we revisit the principles of proximal and remote sensing, describing the application of non-invasive devices for precision phenotyping applied to the protected horticulture. Potentiality and constraints of big data management and integration with “omics” disciplines will also be discussed.

    Illustration Photo: Tomato seedlings (credits: Aris Papachristou / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))

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    Smart & Connected Agrifood: Beyond Precision Agriculture

    Authors: Tod D, Williams R, Johnstone P

    Publisher: Zenodo

    Illustration Photo: A handheld GPS device, which is one of the central technologies in a new CIAT project on site-specific agriculture. The Colombia-based initiative will collect, process and aggregate information on the planting decisions of hundreds of the country's fruit farmers to help them make the best choices. (credits: Neil Palmer (CIAT) / Flickr Creative Commons Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0))

    Check more https://adalidda.com/posts/iQyaRu86XLursW3KT/smart-and-connected-agrifood-beyond-precision-agriculture
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