Role of Agronomy in Cultivating a Sustainable Food Future | Doi : 10.37446/edibook092024/123-130

PAID ACCESS | Published on : 31-Oct-2024

Role of IoT in Modern Agriculture: Driving Efficiency and Innovation

• S. R. Shri Rangasami
• Associate Professor (Agronomy), Department of Forage Crops, Tamil Nadu Agricultural, University, Coimbatore, Tamil Nadu, India.
• K. Sathiya
• Associate Professor (Agronomy), Oil seed Research Station, Tindivanam, Tamil Nadu, India.
• R. Ajaykumar
• Assistant Professor (Agronomy), Vanavarayar Institute of Agriculture, Pollachi, Tamil Nadu, India.
• M. Purnima
• Research Scholar, Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India.

Abstract

By integrating intelligent technology with traditional farming practices, the Internet of Things (IoT) is revolutionizing agriculture, driving innovation, and boosting productivity. In agricultural IoT systems, sensors, devices, and networks are deployed to collect and analyze data from various sources, such as weather patterns, crop health, and soil conditions. This data-driven approach enables farmers to make informed decisions, optimize resource use, and enhance overall crop management. This real-time data enables farmers to optimize resource use, make informed decisions, and enhance operational efficiency. Key applications of IoT in agriculture include precision irrigation, automated machinery, and remote monitoring of crops and livestock. By leveraging these technologies, farmers can more accurately predict yields, reduce waste, and allocate resources more effectively. This study explores the impact of IoT on agricultural practices, presenting successful case studies and assessing the potential for future advancements in the field. The study also addresses challenges such as the need for scalable solutions, communication hurdles, and data security concerns. The results emphasize how IoT is revolutionizing agricultural practices, driving them toward greater productivity and sustainability.

Keywords

Remote sensing, Cloud computing, Supply chain transparency, AI and robotics

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