Скачать с ютуб Data-Driven Agriculture and Role of AI in Farming: Example of Applying Fungicide for Wheat в хорошем качестве

Data-Driven Agriculture and Role of AI in Farming: Example of Applying Fungicide for Wheat

Data-driven agriculture is not only about finding the way inputs affect outputs of farm, but also the complexity of interactions between variables. Data-driven agriculture means using artificial intelligence to gain the insights from farming data to maximize your return on investment. Farming is complex process and machine learning models are structured to deal with this complexity. AI leads to data-driven decisions that are proactive rather than reactive. This short video shows an example of our data driven farming approach on one of many questions farmers face: applying fungicide. (music: bensound)