International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | PranaDhanya: An AI-Powered Portal for Crop Disease Diagnosis, Livestock Health Screening and Farm Decision Support |
|---|---|
| ABSTRACT | Small and marginal farmers usually have to decide about crop disease, livestock illness, fertilizer and selling time without quick access to an expert. This paper presents PranaDhanya, a web portal that puts six machine-learning models behind one role-based interface for farmers, veterinary officers and administrators. Two ResNet9 convolutional networks screen leaf images (38 plant classes) and animal images (11 cattle, dog and goat classes); an XGBoost classifier recommends crops from soil and weather values; Random Forest models estimate crop yield, wholesale price and a suitable fertilizer. The models are served by a FastAPI microservice and consumed by a Spring Boot 3 backend with JWT security and a PostgreSQL database. On our held-out data the plant and animal image models reach 96.00% test accuracy, crop recommendation reaches 98.64–99.86% accuracy (F1 = 0.99), fertilizer prediction reaches 98.99–100% accuracy (F1 = 0.99), and the yield and price regressors reach R2 of 0.74–0.85 (MAE 1.12 t/ha) and 0.77–0.85 (MAE Rs. 71 per quintal) respectively. We also discuss where the system still falls short, especially for field photographs taken against cluttered backgrounds. |
| AUTHOR | DINESH KUMAR M, DHANUSH M, SHASHANK M ARADHYA, ADITHYA S, KUSHAL R Professor, Department of Information Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India Student, Department of Information Science and Engineering, Rajarajeswari College of Engineering, Bengaluru, Karnataka, India |
| VOLUME | 190 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1411006 |
| pdf/6_PranaDhanya An AI-Powered Portal for Crop Disease Diagnosis, Livestock Health Screening and Farm Decision Support.pdf | |
| KEYWORDS | |
| References |
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