Microbial Soil Health Restoration

DOI

10.2991/978-94-6239-713-2_23How to use a DOI?

Keywords

Smart agriculture; Internet of Things(IoT); remote monitoring; soil moisture control; precision farming; wireless sensor network; automated irrigation systems; water conservation; climate change adaptations; and sustainable agriculture

Abstract

Proper detection of microorganisms in microbiology, agriculture and medical services is important as it facilitates the prevention of diseases, environmental pollution, and research. In the project, Microbes Prediction and Recommendation is a web application based on machine-learning that was developed to predict microorganisms by using quantitative features of images. Various models are incorporated in the system which consist Artificial Neural Networks (ANN), XGBoost, Support Vector Machine (SVM) and Random Forest (RF). In order to make the performance better, feature scaling and Principal Component Analysis (PCA) are implemented and allow users to upload datasets, view predictions of all models, examine training metrics, confusion matrices, and feature importances and be presented with automated recommendations basing on the Random Forest model. The experimental findings indicate that ensemble models like XGBoost and the Random Forest had the highest accuracy, ANN had an intermediate result, and SVM had poorer generalization. On the whole, such a platform provides an interactive and comprehensible method of microorganism classification assisting researchers and practitioners in making adequate decisions and conducting additional analysis.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - A. Christy Jeba Malar
AU  - S. Bhuvanesh
AU  - R. Heeranya
AU  - M. Janani
PY  - 2026
DA  - 2026/06/25
TI  - Microbial Soil Health Restoration
BT  - Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026)
PB  - Atlantis Press
SP  - 314
EP  - 325
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-713-2_23
DO  - 10.2991/978-94-6239-713-2_23
ID  - Malar2026
ER  -