AgriConnect+: A Multi-Modal AI Framework for Crop Health Analysis, Price Forecasting, and Soil-Aware Recommendation

Author(s)	Mr. Aditya D J, Mr. Sujay K, Mr. Nagesh Patil, Ms. Nidhiben Divyesh Soni
Country	India
Abstract	AgriConnect+ is an AI-based decision support system designed to assist farmers in managing crop diseases, price uncertainty, and soil-driven crop selection. The framework integrates deep learning and machine learning techniques to provide three key functionalities: crop disease detection using CNN-based segmentation, crop price prediction through ensemble learning on historical market data, and soil-based crop recommendation using Top-K ranking models. Experimental results show effective disease localization, accurate price forecasting, and reliable crop recommendations. The integrated architecture enables scalable deployment and supports data-driven, sustainable agricultural decision-making.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-26
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.64669

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International Journal For Multidisciplinary Research