Combating Crop Diseases in India: The Role of IoT and AI in Early Detection and Prevention
Keywords:
Crop disease detection, IoT in agriculture, AI in agriculture, Sustainable agricultural practices, Early disease identification, Precision agriculture, Smart farming technologies, Agricultural resilienceAbstract
Crop diseases remain a significant challenge in Indian agriculture, leading to substantial economic losses and reduced food security. Traditional methods of disease detection and management often fail due to late identification and lack of resources, especially in rural regions. This paper explores the role of Internet of Things (IoT) and Artificial Intelligence (AI) in combating crop diseases by enabling early detection, prediction, and prevention. By integrating these technologies, farmers can reduce losses, improve crop yield, and promote sustainable agricultural practices. The paper reviews existing applications, benefits, and challenges of implementing these technologies in India, offering a path towards a more resilient agricultural future.
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