AI In Agriculture

AI In Agriculture:

According to NITI Aayog, AI has the potential to add $1 trillion to India’s economy by 2035. And, as per some experts and academicians, a significant amount of this would be in the agriculture sector.

Application of the AI in agriculture:

  • Efficient and cost-effective resource and yield management in the agricultural sector.
  • Enable Smart Agriculture: It refers to the usage of technologies like the Internet of Things, sensors, location systems, robots and artificial intelligence on your farm.
  • AI, cloud computing, satellite imagery, and advanced analytics, in combination, can create an ecosystem for smart agriculture.
  • Prediction analysis: Will ensure the highest possible yields based on the seasonal forecast models.
  • Address supply-demand mismatch in real-time.
  • For example, a supply-demand engine or predictor that can map supply and demand can reduce this issue significantly.
  • Precision farming by determining whether pesticides and weedicides should be used by detecting and targeting weeds in the identified buffer zone.
  • This can lead to higher yields and reduced use of pesticides and weedicides.
  • Extension services: AI-based natural language translation facilitates the issuance and spread of Agri-advisories, weather forecasts, and early warnings for droughts in multiple vernacular languages.

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