Volume no :
9 |
Issue no :
1
Article Type :
Scholarly Article
Author :
Mrs. S. Tejaswi, N. Sanjay Bhargav, R. Manohar Reddy, V. Charitha Reddy
Published Date :
April, 2025
Publisher :
Journal of Theoretical and Computational Advances in Scientific Research (JTCASR)
Page No: 1 - 12
Abstract : Agriculture is a critical sector facing numerous challenges such as climate change, resource limitations, and the need to increase productivity to feed a growing global population. “Crop Connect” presents a comprehensive technological approach to modernizing agriculture by integrating advanced digital tools and smart systems to optimize crop management and enhance farm productivity. This system leverages Internet of Things (IoT) devices, data analytics, and wireless communication to provide real-time monitoring of soil health, weather conditions, crop growth, and pest detection. By enabling precise and timely interventions, Crop Connect helps farmers make informed decisions, reduce resource wastage, and improve yield quality and quantity. The platform incorporates sensor networks to collect vital agricultural data, which is then processed using machine learning algorithms to generate actionable insights and predictive analytics. These insights assist in efficient irrigation scheduling, fertilizer application, and early pest detection, minimizing environmental impact while maximizing crop output. Additionally, Crop Connect facilitates connectivity between farmers, agronomists, and agricultural markets, enabling knowledge sharing and access to better market opportunities. The proposed technological framework addresses key issues in traditional farming methods, including inefficient resource use and delayed responses to crop stress. By empowering farmers with data-driven tools, Crop Connect aims to enhance sustainability, profitability, and resilience in agriculture. This modernization approach contributes to food security and supports the global shift toward smart farming practices.
Keyword Modern Agriculture, Internet of Things (IoT), Precision Farming, Smart Agriculture, Crop Monitoring, Data Analytics, Sustainable Farming, Agricultural Technology, Machine Learning, Resource Optimization.
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