A Study on IoT and Big Data for Irrigation Automation and Yield Optimization

Author(s)	Amitabh
Country	India
Abstract	The integration of IoT (Internet of Things) and Big Data in irrigation automation and yield optimization is transforming modern agriculture by enabling precision farming. IoT-powered smart sensors monitor real-time soil moisture, temperature, humidity, and weather conditions, ensuring optimal water usage. These sensors transmit data to cloud-based platforms, where Big Data analytics processes vast amounts of information to generate actionable insights. AI-driven algorithms analyze historical patterns and predict irrigation needs, reducing water wastage and improving crop health. By automating irrigation based on real-time data, farmers can enhance yield quality, resource efficiency, and sustainability, leading to higher productivity and lower operational costs.
Keywords	IoT, Sensors, Agriculture, Big Data, Yield optimisation
Field	Computer > Data / Information
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-15
Cite This	A Study on IoT and Big Data for Irrigation Automation and Yield Optimization - Amitabh - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2214
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2214
Short DOI	https://doi.org/g88scj

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