Smart solution for leaf stress detection and classification a research pattern

Abstract

IoT is a global infrastructure that is used successfully in different sectors such as health care, smart agriculture, smart city, and industrial production, etc. This paper illustrates the smart solutions for plant leaf stress detection and classification. Firstly, the paper explores different types of IoT frameworks in different sectors and laid down their pros and cons. This paper explains different types of frameworks such as cloud-based and object-based IoT frameworks. Secondly, the paper explores different type’s stress which affects agriculture. Here this paper categorizes leaf stress into two parts as Biotic and Abiotic leaf stress. Later on, it describes how both can be linked to getting the proper information to identify stress in crops using leaf images. Also, laid-down analysis to detect stress in crops by visualizing plant leaves. This framework visualizes images continuously and predicts the reason for stress in the plant.