AI And IOT In Smart Agriculture: Enhancing Productivity, Sustainability, And Resource Optimization
Keywords:
AIoT, climate-smart agriculture, precision agriculture, food security, digital divide, sustainable farming, IoT sensors, drone technology, data privacy, farmer adoption, blockchain, predictive modeling.Abstract
The integration of AI and IoT (AIoT) is useful to solve some of the challenges that currently affect agriculture such as food insecurity, climate change and scarcity of resources. The utility of AIoT in smart farming through IoT-enforced sensors, drone surveillance, and an analytics platform is also elucidated by detailing the application effective irrigation, sound animal husbandry, and efficient greenhouse climate control which go a long way in cutting on wastage and optimizing production. Nonetheless, several factors such as; cost issues, which imply that affording access to the internet is economically costly, connectivity issues, particularly in rural areas and issues to do with data privacy act as barriers to adoption. The suggestions given involve putting more effort into policy interventions, educating farmers, and availing cheap AIoT technologies for closure. Automated labor, blockchain-based food tracking, and climate change forecasting are here some of the examples of application of AIoT for positive development of resilient, inclusive and sustainable food systems.
