AI-Based Biochar Recommendation System for Soil Health & Carbon Enhancement

Abstract

Soil health is very important for agricultural productivity, but many farmers face issues such as low fertility, poor soil structure, and reduced carbon content. Biochar is a sustainable solution that helps improve soil quality and increase carbon storage. This research focuses on developing an AI-based web application using Claude AI to recommend suitable bio-char usage for farmers. The system provides recommendations based on inputs such as soil type, crop type, and environmental conditions. The web application is simple and easy to use, allowing farmers to access it through mobile phones or computers. The main objective of this study is to help farmers improve soil health and enhance carbon sequestration using modern technology. By using this system, farmers can make better decisions regarding soil management practices. The application also promotes sustainable agriculture and reduces environmental impact. This study highlights how AI-based web applications can support farmers in solving real-life problems and improving productivity in an efficient and practical way.

Introduction

This study focuses on addressing soil degradation in agriculture, a major issue especially in countries like India, caused by excessive chemical fertilizer use, poor farming practices, and environmental changes. Soil degradation reduces fertility, lowers crop productivity, and negatively impacts farmers’ income.

To solve this problem, the study highlights the use of biochar, a carbon-rich material made from organic waste through pyrolysis. Biochar improves soil fertility, increases water retention, enhances microbial activity, and improves soil structure. It also plays an important environmental role through carbon sequestration, as it stores carbon in the soil for long periods and helps reduce greenhouse gas emissions.

However, despite its benefits, many farmers lack awareness about biochar and its proper usage. Its effectiveness depends on factors like soil type, crop type, and environmental conditions, making decision-making difficult without expert guidance.

To address this gap, the research develops an AI-based web application using Claude AI. The system takes inputs such as soil type and crop type and provides personalized recommendations for biochar application, including dosage, usage methods, and expected benefits. The application is designed to be simple, accessible on multiple devices, and useful even for users with limited technical knowledge.

The study aims to improve soil health, promote sustainable agriculture, and demonstrate how artificial intelligence can support farming decisions. It also reduces dependence on traditional expert advice by providing instant, data-driven recommendations.

The literature review supports the benefits of biochar in improving soil fertility, increasing crop yield, enhancing soil structure, and supporting long-term environmental sustainability. It also emphasizes its role in climate change mitigation and sustainable farming practices.

Conclusion

This project developed an AI-based web application that helps farmers use biochar properly to improve soil health. The system gives quick and easy recommendations based on soil and crop type, making it useful even for beginners. The results show that biochar improves soil fertility, water retention, carbon content, and crop productivity compared to normal soil. It also supports sustainable farming and helps protect the environment. Overall, this study shows that using AI in agriculture can help farmers make better decisions. With future improvements, this system can become even more useful for smart farming.

References

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Copyright

Copyright © 2026 Miss. Kanchan Rajendra Pawar , Mr. Omkar Kailas Shinde , Miss. Payal Jagdish Kaithwas . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.