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AI in Agriculture







  • In agriculture new AI advancements show improvements in gaining yield and to increase the research and development of growing crops. 
  • New artificial intelligence now predicts the time it takes for a crop like a tomato to be ripe and ready for picking thus increasing efficiency of farming. 
  • These advances go on including Crop and Soil Monitoring, Agricultural Robots, and Predictive Analytics. 
  • Crop and soil monitoring uses new algorithms and data collected on the field to manage and track the health of crops making it easier and more sustainable for the farmers.
  • More specializations of AI in agriculture is one such as greenhouse automation, simulation, modeling, and optimization techniques.
  • Due to the increase in population and the growth of demand for food in the future, there will need to be at least a 70% increase in yield from agriculture to sustain this new demand.
  •  More and more of the public perceives that the adaption of these new techniques and the use of Artificial intelligence will help reach that goal.

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