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Role of Artificial Intelligence in Agriculture From thinkml.ai
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How Big Data Can Mean Better ProfitFocused Decisions Farmers Edge Technologies like machine learning, image recognition, and predictive modeling are being applied in the agriculture industry as ways to boost productivity and efficiency. While the iot makes real time monitoring and widespread distribution of information possible, ai can improve productivity and efficiency by helping farmers wade through that data and make decisions. Below are some key applications of artificial intelligence.
Ai sensors can detect and target weeds and then decide which herbicides to apply within the right buffer zone. How Big Data Can Mean Better ProfitFocused Decisions Farmers Edge.
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And robotics is an increasingly key part of that technological stable. Ai sensors can detect and target weeds and then decide which herbicides to apply within the right buffer zone. The major ai applications in making agriculture a smart field fall in three categories, including: How Big Data Can Mean Better ProfitFocused Decisions Farmers Edge, While the iot makes real time monitoring and widespread distribution of information possible, ai can improve productivity and efficiency by helping farmers wade through that data and make decisions.
