Agriculture is essential to meet the world's food needs, especially with the increasing global population requiring higher food production. Smart agriculture with technologies such as the Internet of Things (IoT) and fuzzy logic can improve agricultural efficiency and productivity. Fuzzy logic, which allows linguistic variables to have more flexible membership degrees, is used in intelligent irrigation systems, productivity prediction, and land use planning. This study reviews systematic literature (SLR) to explore the applications and benefits of fuzzy logic in agriculture, as well as the challenges of its implementation. Results show that fuzzy logic has great potential to improve agricultural efficiency, but faces challenges in implementation. This research paves the way for further studies in this area
Copyrights © 2024