10 papers analyzed
These studies suggest that artificial intelligence can optimize agricultural practices and crop yield by improving resource efficiency, decision support, productivity, and sustainability, though challenges like cost, energy use, and technology gaps remain.
Artificial intelligence (AI) is increasingly being integrated into agricultural practices to optimize crop yields, improve resource efficiency, and enhance overall agricultural sustainability. This synthesis explores the various ways AI is being utilized in agriculture, focusing on its role in optimizing agricultural practices and crop yield.
AI in Smart Greenhouses:
AI for Precision Agriculture:
AI in Crop Monitoring and Management:
AI in Pest and Disease Control:
AI in Weather Forecasting and Climate Adaptation:
AI in Yield Prediction:
AI is playing a transformative role in optimizing agricultural practices and enhancing crop yields. By integrating AI technologies in smart greenhouses, precision agriculture, crop monitoring, pest and disease control, weather forecasting, and yield prediction, farmers can achieve higher productivity, better resource efficiency, and improved sustainability. The collective insights from various research papers highlight the significant potential of AI to revolutionize agriculture, making it more resilient and productive.
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