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Digital Farming: A Review on Agricultural Technologies and Data- Driven methods

Tuba Iram

Abstract


The article provides a comprehensive overview of the digitalization of farming and explores the technologies and data-driven approaches revolutionizing modern agriculture. The study examines the role of digital technologies such as precision agriculture, Internet of Things (IoT), artificial intelligence (AI), and data analytics in transforming various aspects of farming practices, including crop management, livestock production, and farm operations. The article reviews the application of sensor technologies for real-time monitoring of environmental conditions, soil health, and crop growth. It discusses the integration of data collection systems, wireless networks, and cloud computing to enable seamless data transfer and storage. The use of AI algorithms for predictive modeling, disease detection, and yield forecasting is also explored. Furthermore, the article analyzes the benefits of digitalization in farming, including enhanced productivity, resource optimization, and improved decision-making. It discusses the challenges related to data security, interoperability, and the digital divide among farmers. Policy implications and the future prospects of digital technologies in agriculture are also addressed. By examining case studies and research findings, this review article offers insights into the successful implementation of digital technologies in farming and highlights the potential for sustainable and efficient agriculture through data-driven approaches.

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References


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