Search results for 'Grapes'

Disease Detection in Tree Leaves and Fruits using Image Processing Techniques

Authors: Nivetha. I, Dr. M. Padmaa

Published in: Journal of Radio and Television Broadcast: 3 pp. 24-28.
Communities: MAT JOURNALS

India is the agriculture based country. Now a day, agricultural product yield is decrease for the reason of disease affect the plants like fungus, virus diseases. In this paper, we detect the tree leaves and fruits disease using image processing techniques. In this paper apple, grapes and pomegranate disease are detected. The apple diseases are apple scab, apple rot, Marssonina leaf blotch, black rot canker, apple mosaic. The grape diseases are black rot, powdery mildew, downy mildew, anthracnose, bacterial leaf spot, and rust. The pomegranate diseases are bacterial blight, aspergillus fruit rot, anthracnose, cercospora fruit spot, cescospora leaf spot.

Photos: Input image, Resized image, Gray image, Noise removal Image, Color filter, Filtered image, Contrast enhanced, Otsu segmentation, Conversion to HIS, Neural network, Disease name respectively (credits: Nivetha. I, Dr. M. Padmaa)

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https://agfuse.com/article/3-most-troubling-grapevine-diseases

https://agfuse.com/article/type-of-organic-fertilizer

Use of multispectral and thermal imagery in precision viticulture

Authors: G Tanda and V. Chiarabini

Published under licence by IOP Publishing Ltd
Journal of Physics: Conference Series, Volume 1224, conference 1

The increasing demand for higher quality and yield of wine production has led to a growing interest in precision viticulture, i.e., practices of monitoring and managing spatial variations in variables related to productivity within a vineyard. This paper presents a few applications of optical measurements, in combination with monitoring systems making use of geolocation and remote/proximal sensing, to calculate vegetation indices related to plant vigour and water stress in vineyards. Measurements were performed on vineyards in Burgenland, Austria, by both aerial and proximal (terrestrial) sensing techniques. A remote-sensing, four-band multispectral sensor, placed on an Unmanned Aerial Vehicle (UAV), has been used to detect the spectral signature of the vineyard and to calculate the NDVI index, useful to selectively address the harvest on the basis of quality and quantity of grapes. Proximal, thermal infrared imaging complemented the investigation providing information about the water status of the vegetation through the CWSI index. Examples of vigour maps are provided, showing, inside a given parcel, the presence of canopies at different level of vegetation characteristics. Results provide a range of information useful to make the optimal choice in management strategies of vineyards.

Photo: UAV equipped with multispectral sensor, GPS device and digital camera. (credits: G Tanda and V. Chiarabini)

Check more https://adalidda.com/posts/RCvbdQDZK7mjyn6H8/use-of-multispectral-and-thermal-imagery-in-precision

VineRobot, an Unmanned ground vehicle equipped with non-invasive sensor technology to monitor grape growth

The VineRobot is equipped with non-invasive advanced sensors and artificial intelligence systems, to provide reliable, fast and objective information on the state of the vineyards to grape growers. Thanks to these technologies, VineRobot will be able to work — that is, retrieving agronomical and physiological data from the grapevines — autonomously and safely over long periods of time under the uncertain environmental conditions typically found in vineyards.

The first version of the VineRobot incorporates a fluorescence-based sensor to assess nitrogen content in leaves. The measurement is performed on-the-go and provides information about the heterogeneity and state of the vineyard.
The other sensor included in the VineRobot measures the anthocyanin content in grapes. This sensor is a fusion between a fluorescence sensor and a fine vision system: It gathers information about the composition of grape berries.

Photo: VineRobot (crédits: VineRobot Project http://www.vinerobot.eu)

Check more https://adalidda.com/posts/uo6xZhtWngJD3KrMx/vinerobot-an-unmanned-ground-vehicle-equipped-with-non

https://agfuse.com/article/best-way-to-control-powdery-mildew-on-grape-plant-1

https://agfuse.com/article/best-way-to-control-powdery-mildew-on-grape-plant

https://www.growingproduce.com/fruits/grapes/make-vineyard-management-precise/

https://agfuse.com/article/why-magnesium-is-important-for-grape-

Mini review: Fruit Residues as Plant Biostimulants for Bio-based Product Recovery

Authors: Andrea Ertani, Ornella Francioso, Serenella Nardi

Journal Title: AIMS Agriculture and Food

ISSN: 2471-2086 (Online)

Publisher: AIMS Press

The request of natural products has augmented in the last years due to the increase in intolerance and allergy reactions showed by humans versus pesticides and certain chemical compounds used in agriculture. In response to this demand, innovative methods and new natural matrices have been exploited to obtain products able to increase plant nutrients use efficiency. In this context, agro-industrial residues contain bioactive molecules, including antioxidants and phenols, which may be used by farmers to improve crop productivity. Phenols are ubiquitous in plants and are essential components of the human diet by virtue of their antioxidant properties. They may also act as positive growth regulators by modifying the root architecture and, consequently, the uptake of macronutrients, potassium especially. In order to understand their effects on the plant metabolic pathways, agro-industrial residues were supplied to maize plants and the activity of specific enzymes was evaluated. In this review, developments and improved understanding on fruit residues on primary and secondary plants metabolism are discussed.

Illustration Photo: Crushed grapes emerge from an old-style wine press as pomace, which contains dietary fiber and antioxidants (credits: Lynn Ketchum / Oregon State University / Flickr Creative Commons Attribution-ShareAlike 2.0 Generic (CC BY-SA 2.0))

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