How Machine Learning has Changed The Agriculture Sector? - Review

• Author(s): Dandu Sai Satya Vamsi Krishna Raju ; Ediga Vinod Kumar ; Ediga Mahendra goud ; Sapna R
• Paper ID: 1704567
• Page: 778-783
• Published Date: 31-05-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 11 May-2023

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.

Citations

IRE Journals:
Dandu Sai Satya Vamsi Krishna Raju , Ediga Vinod Kumar , Ediga Mahendra goud , Sapna R "How Machine Learning has Changed The Agriculture Sector? - Review" Iconic Research And Engineering Journals Volume 6 Issue 11 2023 Page 778-783

IEEE:
Dandu Sai Satya Vamsi Krishna Raju , Ediga Vinod Kumar , Ediga Mahendra goud , Sapna R "How Machine Learning has Changed The Agriculture Sector? - Review" Iconic Research And Engineering Journals, 6(11)