Year: 2024
Type: article
Abstract: Background:The Internet of Things(IoT)is streamlining processes in food and agriculture, especially in developing countries with agriculture-based economies. These countries stand to gain a lot from the IoT innovations that bring about mechanisms to track and control the risks experienced dueto factors such as low productivity, wastage of resourcesandfood scarcity.Objectives:This research aimsto demonstrate how different IoT solutions can be effective in food and agriculture technology in less developed countries. It focuses on the potential of IoT solutions to improve productivity, reduce wastage of resourcesandencourage sustainable agro practices. Furthermore, the paper examines the reasons behind the slow adoption of IoT technologiesandstrategies to surmount such factors are proposed.Methodology:The study employed both literature and analytical as well; however, a majority of it was on the primary data concerning IoT solutions that were smart irrigation and precision agriculture. Data was collected from farmersandtechnology neglected mostly the politicians of developing countries whose focus was to understand or rather assess the uptake, challengesandimpacts of IoT technology.Results:The results show that IoT can cause a drastic enhancement of agricultural productivity throughefficient water irrigation, keeping a check on soil health and lowering post-harvest waste. MFIs IoT made the adoption of the system and use of resources more efficient, increasedprofits and loweredexpenses. However, they also revealed obstacles tothe process such as the cost of implementation, expertise in both technical and operational levels and internet services.Conclusion: Smart agriculture and agricultural systems everywhere will undergo a revolution owing to IoT technologies because theyenhancepractices and innovations. However, potential benefits cannot, be maximized Secure fencing of these barriers will not be straightforward since a significant amount of time will have to be devoted to understanding each of the suggestions made by the officers present.
Authors: Ammad- ul-Islam, Tanveer Nazir, Irfan Ali, Sania Rafiq, Muhammad Musharaf Ahsan, Imran Siddiq
Institutions: Shenzhen University, University of Lahore
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4414930689
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