IOT-Enabled Smart Crop Recommendation System Using Machine Learning

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Saranya, S S (2024) IOT-Enabled Smart Crop Recommendation System Using Machine Learning. 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). pp. 1459-1463.

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Abstract

Agriculture, a foundation of India's economy, faces challenges in maximizing yield and resource efficiency. This research presents a machine learning-based system to recommend optimal crops and fertilizers based on soil quality and geographic location. By providing data-driven insights, the proposed system aims to enhance crop productivity, promote sustainable farming practices, and empower farmers to make informed decisions.

Item Type: Article
Uncontrolled Keywords: Productivity, Communication systems, Crops, Machine learning, Soil, Agriculture, Recommender systems, Faces, Fertilizer, Farming
Subjects: A Artificial Intelligence and Data Science > Machine Learning
C Computer Science and Engineering > IoT and Security
E Electronics and Communication Engineering > Communication Systems
Divisions: Computer Science and Engineering
Depositing User: Dr Krishnamurthy V
Date Deposited: 07 Jan 2025 06:31
Last Modified: 07 Jan 2025 06:31
URI: https://ir.psgitech.ac.in/id/eprint/1278

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