An AI-Based Growth Assessment of Green Oak Leaf Lettuce via LINE Chatbot for Amateur Growers: A Preliminary Study

Systems with automated recommendations are widely used in many mobile applications, such as e-commerce, news, agriculture, and other fields. Agricultural information is an essential driving force for the development of agricultural modernization. The goal of this work was to assist amateur green oak leaf lettuce growers, who do not have access to the assistance of agricultural experts. The growers are required to capture a photo of the crops and send it through the LINE application. The image will then be processed to assess the stages of growth and in addition, a set of chosen advice will be given through a response message. This process is a very economical approach that allows growers with little technical knowledge to use this system through the well-known LINE chatbot. In this investigation, YOLO, a powerful object detection algorithm, was employed for estimating lettuce growth. The recommendations were prepared to support the growth assessment along with the LINE bot platform. The implementation performed well according to the design and functional process flow. Although the average assessment accuracy reached 90% in this preliminary study, future work needs more investigation into various aspects.