American International Journal of Research and Innovation

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Volume 8 Issue 5
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Precision Agriculture and Data-Driven Farm Management

Author(s) Dr. James Anderson
Country United States
Abstract Agricultural systems are facing increasing challenges due to climate variability, resource limitations, population growth, and the need for sustainable food production. Traditional farming practices often rely on generalized management approaches that may result in inefficient resource utilization, increased production costs, and environmental pressures. Precision agriculture has emerged as an advanced approach that integrates digital technologies, data analytics, remote sensing, and intelligent decision-making systems to improve agricultural productivity and sustainability.
This study examines precision agriculture and data-driven farm management through a conceptual analysis of smart farming technologies, agricultural data analytics, sensor-based monitoring, artificial intelligence applications, and sustainable resource management practices. The research explores how data-driven approaches enhance crop management, optimize resource utilization, improve productivity, and support environmentally responsible farming systems.
The study adopts an analytical framework based on precision farming principles, digital agriculture transformation, sustainable agricultural management, and data-driven decision models. The findings indicate that precision agriculture improves farm efficiency through accurate monitoring, optimized irrigation, targeted fertilizer application, predictive crop management, and improved decision-making. However, challenges related to technology costs, digital infrastructure, data accessibility, farmer skills, and system integration influence widespread adoption.
The study concludes that precision agriculture represents an important pathway toward sustainable and intelligent farming systems. Integrating advanced technologies with farmer knowledge, supportive policies, and accessible digital solutions can improve agricultural productivity while reducing environmental impacts.
Keywords Precision Agriculture, Data-Driven Farming, Smart Agriculture, Artificial Intelligence, Remote Sensing, Sustainable Farming, Agricultural Technology.
Field Engineering
Published In Volume 4, Issue 5, September-October 2022
Published On 2022-10-01
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