"Data in agriculture is ubiquitous, data science is not. Despite the significant amount of time, energy, and money to collect data, the promise of data driven agriculture continues to prove illusive." https://agribusiness.purdue.edu/program/purdue-food-and-agribusiness-executive-summit/?inf_contact_key=5a7c1f8ccdbae889484a513f992731fbf651f238aa2edbb9c8b7cff03e0b16a0. I would recommend caution, however, when 'executives' discuss political buzz words such as equity. For example, equity in wheat distribution viz-a-viz New England and the Mid-west, after the Eerie Canal was completed and facilitated cheaper shipping from the Mid-west, would have caused wheat flour prices in New York rise exponentially due the the exceptional logistics cost of shipping wheat/flour from New England. Logistics is based on geography and resources. Food is also colorblind, and a sweet potato, regardless of where it is grown (or by whom), would require the exact same nutrient and water requirements. Its time for an injection of common sense into our agriculture leadership. If the data discssed cannot assist in pinpointing these requirements, then it is the collection of data, simply to collect data, with no end-state in mind.