This chapter explores the practical applications of artificial intelligence in predicting agricultural productivity and implementing intelligent irrigation. Accurate estimates of agricultural yields and irrigation requirements are crucial for farmers’ well-being and contentment. Advanced forecasting reduces production costs and increases agricultural yields. Accurate forecasts also benefit the government by enabling efficient organization of programs, transportation, procurement, storage, and economic health. Technologies like IoT, artificial intelligence, and machine learning contribute to the development of intelligent irrigation systems. The chapter breaks down existing irrigation systems and presents comparative criteria and requirements. The chapter acknowledges new developments in precision farming using artificial intelligence, focusing on developing intelligent irrigation systems and accurate production predictions.

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AI-Based Yield Prediction and Smart Irrigation

  • Saptarshi Das,
  • Shouvik Kumar Nandy

摘要

This chapter explores the practical applications of artificial intelligence in predicting agricultural productivity and implementing intelligent irrigation. Accurate estimates of agricultural yields and irrigation requirements are crucial for farmers’ well-being and contentment. Advanced forecasting reduces production costs and increases agricultural yields. Accurate forecasts also benefit the government by enabling efficient organization of programs, transportation, procurement, storage, and economic health. Technologies like IoT, artificial intelligence, and machine learning contribute to the development of intelligent irrigation systems. The chapter breaks down existing irrigation systems and presents comparative criteria and requirements. The chapter acknowledges new developments in precision farming using artificial intelligence, focusing on developing intelligent irrigation systems and accurate production predictions.