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International Journal of Sustainable Infrastructure for Cities and Societies

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Published

2023-07-13

Issue

Vol. 8 No. 2 (2023): IJSICS-APRIL-JUNE

Section

Articles

How to Cite

Bhangar, N. A., & Shahriyar, A. K. (2023). IoT and AI for Next-Generation Farming: Opportunities, Challenges, and Outlook. International Journal of Sustainable Infrastructure for Cities and Societies, 8(2), 14–26. Retrieved from https://vectoral.org/index.php/IJSICS/article/view/14

IoT and AI for Next-Generation Farming: Opportunities, Challenges, and Outlook

Nadir Ali Bhangar

Sindh Agriculture University Tandojam, Plant Breeding and Genetics

Abul Kashem Shahriyar

Bangabandhu Sheikh Mujibur Rahman science and technology University, Department of agriculture

Keywords: Next-Generation Farming, Internet of Things (IoT), Artificial Intelligence (AI), Precision Agriculture, Supply Chain Efficiency

Abstract

The integration of the Internet of Things (IoT) and Artificial Intelligence (AI) within the agricultural sector heralds the advent of next-generation farming. This research explores the employment of these technologies to enhance the yield and quality of specific crops such as onion, silk, and turmeric. The opportunities offered include Precision Farming, wherein IoT devices gather vital information like weather conditions, soil quality, and crop growth, allowing for the automation of farming techniques and resource management. AI analyzes this data to provide insights such as the optimal planting and harvest times. Disease Detection and Prevention utilize AI and Machine Learning algorithms to identify crop diseases at an early stage. Automated Irrigation employs soil moisture sensors to govern irrigation needs, ensuring timely water supply. Supply Chain Management benefits from IoT and AI to enhance efficiency through real-time freshness tracking, thus minimizing waste. However, the implementation of these technologies is not without challenges. High initial costs may be prohibitive for smaller farms, while limited internet connectivity in some agricultural regions hampers the execution of these solutions. Moreover, a requisite level of digital literacy is essential for successful implementation, and the lack of necessary skills and training among farmers can be a barrier. Additionally, concerns related to data privacy and security due to extensive data collection need to be addressed. In conclusion, while the potential of IoT and AI in agriculture is vast, significant challenges must be overcome. A concerted effort in investment, policy-making, and training could lead to significant enhancements in the productivity and sustainability of key crops.

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Published by Vectoral Publishing, the International Journal of Sustainable Infrastructure for Cities and Societies maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.