How Machine Learning has Changed The Agriculture Sector? - Review

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@article{1704567,
      author = {Dandu Sai Satya Vamsi Krishna Raju, Ediga Vinod Kumar, Ediga Mahendra goud, Sapna R},
      title = {How Machine Learning has Changed The Agriculture Sector? - Review},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {11},
      pages = {778-783},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704567.pdf},
      abstract = {With the development of big data technologies and high-performance computers, machine learning has opened up new possibilities for data-intensive science in the multidisciplinary field of agri-technology. This study provides a thorough analysis of applications-focused research of artificial intelligence in systems that produce food. The analysed works were divided into the following categories: (a) crop management, which includes applications on yield prediction, disease detection, and weed identification Crop quality and species identification; b) animal welfare and livestock production applications; c) water management; and d) soil management. The categorization and filtering of the articles shown here show how machine learning technologies will help agriculture. Farm management systems are developing into real-time artificial intelligence enabled programmes that offer detailed recommendations and insights for farmer decision support and action by using machine learning to sensor data.},
      month = {May},
  }