A User-friendly AIoT-Based Crop Recommendation system (UACR): concept and architecture

Smart Agriculture plays an important role in providing foods and manufacturing products. It covers various food-related applications, from weed and pest identification to crop recommendation. Selecting an appropriate crop to grow for a farm directly affects the quality and quantity of products. This paper proposes a user-friendly crop recommendation system called UACR. The users only need to insert their farm location and the system can automatically obtain other necessary information (e.g., rain level, soil type) based on the requested location and recommends the best crop(s) for growing in the location. To support and implement the proposed system, an architecture based on Artificial Intelligence of Things (AIoT) technology, as one of the main enablers for smart agriculture, is also proposed.