The use of artificial intelligence system and machine learning in the field of agriculture shows a change of scenario in agriculture. We are introducing AI-enhancedagriculture, a new initiative that applies AI to transform agriculture. AI-enhanced agriculture consistsof three primary submodules: crop recommendation, fertilizer suggestion, and disease detection, all to aid farmers and agricultural enthusiasts to improve cultivation. Inspired by the importanceof agriculture in the worldwide economy, AI-enhanced agriculture aims to modernize agriculture with AI. In this work, customized and external datasets are used in deep learning (DL) and are scalable with ML techniques. Deployed on Vercel, AI-enhanced agriculture is online and is available for live demos ofits functionality. The specific phenomenonreflects on the future possibilities and needs for innovation within palmistry and also documents user contributions to the project. That,despite the potential value of AI-enhanced agriculture, is little more than a proof of concept.

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AI-Enhanced Agriculture: Cultivating the Future

  • Arpit Tripathi,
  • Harshlata Vishwakarma,
  • Rajneesh Kumar Patel,
  • Anju Shukla,
  • Siddharth Singh Chouhan

摘要

The use of artificial intelligence system and machine learning in the field of agriculture shows a change of scenario in agriculture. We are introducing AI-enhancedagriculture, a new initiative that applies AI to transform agriculture. AI-enhanced agriculture consistsof three primary submodules: crop recommendation, fertilizer suggestion, and disease detection, all to aid farmers and agricultural enthusiasts to improve cultivation. Inspired by the importanceof agriculture in the worldwide economy, AI-enhanced agriculture aims to modernize agriculture with AI. In this work, customized and external datasets are used in deep learning (DL) and are scalable with ML techniques. Deployed on Vercel, AI-enhanced agriculture is online and is available for live demos ofits functionality. The specific phenomenonreflects on the future possibilities and needs for innovation within palmistry and also documents user contributions to the project. That,despite the potential value of AI-enhanced agriculture, is little more than a proof of concept.