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Adoption Challenges and Incentives for IoT and AI in Agriculture

Mohd Nazam Ansari, Sheetanshu Gupta, Dhirendra Kumar, Barkat Hussain

20248 citationsDOI

Abstract

Agriculture could undergo a significant transformation if IoT and AI technologies are adopted, but there are special obstacles to overcome and the correct incentives must be in place for this to happen. The complex terrain of IoT and AI adoption in agriculture, exploring the obstacles to its advancement and the rewards that propel its expansion. Farmers face a number of difficulties as a result of the quick advancement of technology, including limited resources, low digital literacy, inadequate infrastructure, and worries about data security and privacy. These problems are made worse by resistance to changing traditional farming methods. Adoption of IoT and AI, however, has several advantages, including improved efficiency, favourable effects on the environment, and economic gains. Additionally, these technologies are essential for solving global agricultural problems and guaranteeing food security. Government assistance and policy efforts are important motivators because they can offer funding, training, and the establishment of a legal framework that promotes the adoption of new technologies. Innovation in the industry is further encouraged by research and knowledge exchange. In order to effectively overcome these adoption hurdles, a comprehensive strategy is required, encompassing publicprivate partnerships, extensive education and training, and international collaboration and information exchange. Adoption of technology must also take ethics into account. In order to demonstrate the revolutionary possibilities of IoT and AI in agriculture, case studies of effective adoption initiatives are investigated, providing insight into their favourable results and the lessons discovered. In the end, as agriculture develops further, (Vadivelu et al., 2023)the secret to realising the full potential of IoT and AI in farming and opening the door to a more technologically sophisticated, efficient, and 356sustainable future in agriculture is to strike a balance between these obstacles and favourable incentives.

Topics & Concepts

Internet of ThingsIncentiveAgricultureComputer scienceBusinessEconomicsComputer securityGeographyMicroeconomicsArchaeologySmart Agriculture and AI
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