A Review on Coconut Tree and Plant Disease Detection using various Deep Learning and Convolutional Neural Network Models

Abstract

The quantity, quality, production of Agricultural products is majorly affected by Plant Diseases. Since the plant disease results in adverse effects of agricultural products growth, an Effective Plant Disease Detection and Controlling system may be used to control the loss occurred by these plant diseases. To control the Plant Diseases, monitoring is required for the plants from their initial stage of growth. But by directly seeing the crops by the human beings can’t exactly determine the Plant Disease exactly, hence Image Classification techniques, various Deep Learning models are used for detection of the diseases of plants from their initial stage of growth. There are various Plant Disease detection techniques and systems which are developed by many researchers to identify the Plant diseases and take steps to reduce/control the Plant diseases. Convolutional Neural Networks (CNNs) and various types of CNNs are used for Disease Detection in plants. For Advancement in Agriculture, this paper Reviews the ability of various Pant and Coconut Tree Disease Detection Systems to detect the Coconut Tree Diseases based on various metrics and the Algorithm used in these systems and also the results from the various systems. This paper mainly aims in reviewing various Algorithms and plant Disease detection systems to compare the best Algorithms used in Coconut and Plant Disease detection.