Automated G-4 Disease Identification Agricultural Intelligent System: An impression and survey

Detection of diseases in plants in the preliminary phase is crucial to achieve management and control of the disease. This requires specialists with the skill set to distinguish the variations in leaf color. This, however, is prone to individual conclusions which very often lead to differences in opinion in the identification of the infection, besides being an expensive process. Some of the research problems identified by numerous researchers include (1) Poor Quality image detail, (2) Complex background data and noises distortions, (3) Variation in diseases collection methods (4) varying size and texture with climate change (5) Segmenting into meaningful disease. We offer a comprehensive literature review on developing different automated G-4 chili disease diagnosis processes and discussing the research gaps in each of these stages.