In rural ways, equipment, and developments, a contemporary perspective has emerged. Exactness is necessary in agribusiness to ensure location-specific management, which includes soil supplementation preparations tailored to the requirements of every crop. Even though planning is essential for increasing performance, it is critical to investigate the potential and barriers of soil as a foundation for selecting the suitable manure type, volume, and usage period to avoid composting usage instability. Farmers’ reliance on senses, trial and error, concealment, and assessment considerably contains key unproductive features like performance losses, resource squandering, and increased environmental defilement because of the complication of determining the ideal preparation extent. This study explains why manure regimens must be modified to fit the needs of specific cultivars and areas while also protecting the ecology by lowering contamination produced by chemical and manure disposal. Several soil-richness management solutions, for example, the usage of adaptable study resources or foreign equipment, have encountered difficulties in terms of fetched, ease of use, and adaptation to the local area. Other options, like shipping soil to testing laboratories, are poorly planned, laborious, and contradictory. Depending on the climatic estimation, this item must be recommended depending on the growth of an artificial neural network (ANN) and indicate the estimated NPK supplementation quantities as well as the appropriate compost processing and usage schedule.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Use of Artificial Intelligence in Smart Farming for Selecting the Composition of Smart Manure

  • G. Bhupal Raj,
  • Rabi Chandra Mandal,
  • Diksha Srivastava,
  • Abhijeet Das,
  • Mohammed Azim Shaikh,
  • Dhiraj Kapila

摘要

In rural ways, equipment, and developments, a contemporary perspective has emerged. Exactness is necessary in agribusiness to ensure location-specific management, which includes soil supplementation preparations tailored to the requirements of every crop. Even though planning is essential for increasing performance, it is critical to investigate the potential and barriers of soil as a foundation for selecting the suitable manure type, volume, and usage period to avoid composting usage instability. Farmers’ reliance on senses, trial and error, concealment, and assessment considerably contains key unproductive features like performance losses, resource squandering, and increased environmental defilement because of the complication of determining the ideal preparation extent. This study explains why manure regimens must be modified to fit the needs of specific cultivars and areas while also protecting the ecology by lowering contamination produced by chemical and manure disposal. Several soil-richness management solutions, for example, the usage of adaptable study resources or foreign equipment, have encountered difficulties in terms of fetched, ease of use, and adaptation to the local area. Other options, like shipping soil to testing laboratories, are poorly planned, laborious, and contradictory. Depending on the climatic estimation, this item must be recommended depending on the growth of an artificial neural network (ANN) and indicate the estimated NPK supplementation quantities as well as the appropriate compost processing and usage schedule.