Save Soil Through Machine Learning

Author:

Babu C. V. Suresh1ORCID,Mahalashmi J.2ORCID,Vidhya A.2,Nila Devagi S.2,Bowshith G.2

Affiliation:

1. Hindustan Institute of Technolgy and Science, India

2. Hindustan Institute of Technology and Science, India

Abstract

Acknowledging the ability of the soil is the primary step in improving its quality. The system is designed to collect all the required data using various IoT-based technologies. This chapter has an intensive survey of research papers in both national and the global space. And the collected data are trained and prepared by machine learning algorithms to be able to predict the ways to improve the quality. It also gives the current status of the soil.

Publisher

IGI Global

Reference27 articles.

1. Agarwal. (2022). Study on we facing soil extinction what it is, why you must care. Academic Press.

2. Babu, S. C.V. (2022). Artificial Intelligence and Expert Systems. Anniyappa Publications.

3. Babu, S. C.V. (2023). IoT and its Applications. Anniyappa Publications.

4. Study on Crop disease detection using machine learning;A.Badage;Indian Agriculturist,2018

5. Biant, Al Arafatt, Li, Chen, Wang, Dou, & Guo. (n.d.). Study on ML in real-time IOT. Academic Press.

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