ABSTRACT
As the global population continues to grow, one of the most pressing challenges we face is ensuring a sufficient, per capita food supply. However, we are also seeing a decrease in the total amount of agricultural land available, which exacerbates this issue. In order to meet these demands, it is crucial that we utilize advanced technologies such as the Internet of Things (IoT), wireless sensor networks (WSN), cloud computing, and artificial intelligence (AI) in the field of smart farming. The incorporation of IoT has led to the development of various sensor-based tools and devices that can be accessed remotely by farmers. This, combined with the advancements in big data, AI, and cloud computing, has allowed for the replacement of traditional agricultural methods with more efficient and effective ones. Smart farming now relies heavily on technology for tasks such as waste management, harvesting, and decision-making for farmers. However, there are still key challenges and limitations that need to be addressed in the realm of smart agriculture. Our study aims to highlight these issues and provide insight for scientists, policymakers, and agriculturalists to consider in their research and studies.
