IoT Based Stress Detection for Organic Lettuce Farms Using Chlorophyll Fluorescence (ChF)

Abstract

In real world, it is impossible to run the farm without plant stress condition. Thus the early stress detection is very important for next generation of smart farming. This paper proposes internet of things (IoT) based stress detection to identify lettuce stresses during their lifecycle. Practical environment features and leaf features have been introduced to effectively control the stresses (heat stress, nitrogen stress, and so on). Chlorophyll fluorescence (ChF) technique has been proved to be a powerful tool for extracting the leaf stress features. The proposed IoT based stress detection system brings us to the generation of inclusiveness era among farm manger, farm expert and farm owner in real-time analysis and discussion.