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All Journal International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Phapale, Anuja
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Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences

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AI for Sustainable Soil Health: Predicting Nutrient Deficiencies & Recommendations Phapale, Anuja; Shiledar, Aditya
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i6.1722

Abstract

In modern agriculture, maintaining soil health is more important than sustainable crops. This paper presents an AI-driven approach to soil health management, focusing on predicting nutrient deficiencies and recommending sustainable actions Using machine learning techniques, we the system analyzes soil data to assess health status and identify nutrient imbalances. The AI ​​system provides personalized recommendations to farmers, including strategies such as crop targeting and crop rotation. Through experiments and case studies, we demonstrate the effectiveness of our approach in increasing soil fertility and promoting sustainable agricultural practices.
Co-Authors Shiledar, Aditya