The grower opens a generative AI (genAI) app designed specifically for agribusiness and types question, according to an article by SAP experts at AgriBusinessGlobal.
“Taking into account the current maturity of my soybean crop, the pending weather micro-forecast, recent precipitation and the soil condition of this particular field, when is the optimal time next week to irrigate and spray this field, and in which volumes?”
In moments, the grower has a detailed answer based on the parameters he or she provided and derived from an analysis of a huge volume of data from disparate sources, including the seed provider, fungicide manufacturer, connected sensors in the field, historical weather and precipitation data, and more.
As farfetched as a scenario like this might have seemed just a few years ago, it has become not just a possibility but a real option for agribusiness companies seeking to optimize crop inputs based on today’s realities and priorities, including climate change, disruptions related to extreme weather, wars, manpower shortages, carbon footprint goals and compliance requirements, volatile commodity prices, and more. Intelligent technologies driven by data are already helping companies make better decisions about crop inputs, which in turn can lead to more efficient, resilient and sustainable production practices and ultimately, more robust yields and profits. Eventually, they could revolutionize the agricultural and food industries by helping growers better manage a range of risks, from weather and soil health to sustainability and water scarcity.
This technology has the potential to transform agriculture all along the supply chain. To learn more about how this technology is being used and the companies involved in making it happen, read the full article on AgriBusiness Global, our sister publication’s website.