What is the role of artificial intelligence in precision agriculture?

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Sudip Ghimire

Artificial intelligence in precision agriculture is used to analyze data from sensors and drones to make predictions about crop growth, nutrient needs, and potential disease outbreaks, allowing farmers to make more informed decisions about crop management.

Fayaz Hussain

Complete article on Artificial intelligence and Agriculture

https://timesagriculture.com/artificial-intelligence-in-agriculture/

The role of artificial intelligence in precision agriculture is to use data from sensors, drones, satellites, and other sources to make predictions and recommendations about crop growth, nutrient needs, pest and disease outbreaks, yield estimation, irrigation scheduling, and other aspects of crop management. AI can help farmers to make more informed decisions based on real-time and historical data, as well as to automate some of the tasks that are labour-intensive or complex.

Hossein Talebi khiavi

Artificial intelligence (AI) plays a significant role in precision agriculture by providing farmers with accurate and real-time information about their crops and soil conditions. AI-powered tools can analyze data from sensors, drones, and satellites to provide insights on crop growth, nutrient levels, and pest infestations. This information helps farmers make data-driven decisions about irrigation, fertilization, and pest management, leading to higher yields and reduced waste. AI can also assist in predicting weather patterns, allowing farmers to adjust their planting and harvesting schedules accordingly. Overall, AI in precision agriculture can help farmers optimize their operations, reduce environmental impact, and increase profitability.

Aditya Bhatia

Artificial intelligence plays a crucial role in precision agriculture by enabling data-driven decision-making for farmers. AI technologies, such as machine learning and computer vision, analyze data from various sources like drones, sensors and satellites to provide insights on crop health, soil conditions and weather patterns. This information helps farmers optimize resource allocation, such as precise irrigation and fertilizer application, reduce waste and enhance crop yields. AI also assists in monitoring and predicting pest and disease outbreaks, making agriculture more sustainable and efficient while contributing to global food security and environmental conservation.