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How AI/ML technologies are increasing agricultural productivity and profitability

1 April 2020
Media Article
Publisher : DQIndia

18522

This article details how Artificial Intelligence (AI) and Machine Learning (ML) technologies are significantly boosting agricultural productivity and profitability. It explains how AI-based solutions analyze variables like soil nutrient content, moisture, and weather patterns to provide farmers with precise advice on crop rotation, planting, and pest management. The piece highlights applications such as AI-powered weather forecasting, soil and crop health monitoring systems, and agricultural robots for efficient harvesting and weed control. These technologies enable farmers to meet increasing food demands sustainably while optimizing resource use and enhancing revenues.

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Key topics

Environmental Sustainability and Climate Action, Rural Development and Agriculture

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Technology for Social Change and Organisational Efficiency

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