Smart Crop Recommendation Systems Leveraging AI and Machine Learning Techniques
Himaja Reddy
Paper Contents
Abstract
AgriHelper is an AI-based agriculture support system designed to assist farmers in making data-driven decisions. The system integrates machine learning and deep learning techniques to provide crop recommendation, yield prediction, and plant disease detection. Crop recommendations are generated by analyzing soil and environmental parameters, while yield prediction helps farmers estimate expected production. Plant disease detection uses image-based deep learning models to identify diseases at an early stage. AgriHelper aims to improve agricultural productivity, reduce losses, and promote sustainable farming through intelligent and accessible technological solutions.
Copyright
Copyright © 2025 Himaja Reddy. This is an open access article distributed under the Creative Commons Attribution License.