Imagine that there are at least 40 basic processes that need to be tracked, highlighted, and monitored simultaneously in these large-scale farming areas, often with hundreds of acres as the basic planning unit. There are major problems of great practical significance, expected to be solved by ML, including in-depth analysis of weather changes, seasonal sunlight differences, grasping the migration patterns of birds and insects, understanding the use of special fertilizers, choosing the right pesticides for crops, monitoring planting, and irrigation cycles. Until now, crop production is increasingly dependent on superior data collection and analysis.
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