Paper Title
Design and Implementation of an IoT-Based Crop Monitoring System
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Registration ID: IJNRD_206010
Published ID: IJNRD2309377
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Keywords
IoT-Based Crop Monitoring, Precision Agriculture, Crop Health Monitoring, Wireless Sensor Networks, Sustainable Farming
Abstract
The advent of technology has revolutionized the agriculture sector, leading to the emergence of precision agriculture or smart farming. In this context, the design and implementation of IoT-based crop monitoring systems have become pivotal. These systems employ a network of sensors to collect real-time data on crucial parameters like soil moisture, temperature, humidity, and light intensity. This data is then transmitted wirelessly to a central hub, processed using advanced algorithms and machine learning models, and made accessible to farmers and agricultural experts through user-friendly interfaces. The need for such systems arises from the growing global demand for food and the challenges posed by climate change. Traditional farming methods, relying on experience and intuition, often fall short in ensuring optimal resource utilization and crop health. IoT-based crop monitoring offers a solution by providing actionable insights that empower farmers to make informed decisions. The benefits of implementing these systems are multifold. They enable precision farming, allowing farmers to tailor their actions to the specific needs of each crop. Early detection of issues such as nutrient deficiencies, pest infestations, and diseases becomes possible, enabling timely intervention. Furthermore, efficient water management, driven by real-time soil moisture data, leads to water conservation, reduced resource wastage, increased crop yields, and improved crop quality. In the real world, the impact of IoT-based crop monitoring systems is tangible. Farmers report enhanced profitability, reduced environmental impact, and improved sustainability in their agricultural operations. These systems represent a significant shift in modern agriculture, leveraging data and technology to promote informed decision-making, resource efficiency, and sustainable farming practices. As they continue to evolve, the future promises even greater advancements in precision agriculture.
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How To Cite (APA)
Dr. Uttam A. Deshmukh & Smita B. Jain (September-2023). Design and Implementation of an IoT-Based Crop Monitoring System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), d644-d651. https://ijnrd.org/papers/IJNRD2309377.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : d644-d651
Other Publication Details
Paper Reg. ID: IJNRD_206010
Published Paper Id: IJNRD2309377
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Parbhani, Maharashtra, india
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309377.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309377
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