In methods, disease causing pathogens as bacteria, fungi viruses directly detected provide accurate identification the disease/pathogen. the hand, indirect methods identify plant diseases various parameters as morphological change, temperature change, transpiration rate change volatile .
Currently, are main methods to identify plant diseases. First, simple basic is visual estimation based farmers' experiences. Owing the similar appearance some diseases, is difficult judge with human eyes. . Therefore, article deals image-based plant disease identification the .
Plant diseases responsible major economic losses the agricultural industry worldwide. Monitoring plant health detecting pathogen early essential reduce disease spread facilitate effective management practices. DNA-based serological methods provide essential tools accurate plant disease diagnosis, addition the traditional visual scouting symptoms .
3 Procedures Plant Disease Diagnosis 17 4 Identification Quantification Airborne Inoculum 23 5 Detection Diagnostic Services 30 . Necrotroph Pathogens 39 2 Concepts Pure Culture Selective Media 44 3 Microscopic Techniques Staining Methods 49 4 Diagnosis Seed Borne Pathogens 55 5 Disease Diagnostic Kits 60 .
Accurate diagnosis plant diseases essential disease management agriculture. . method antibodies identify specific pathogen proteins (antigens). Sample preparation this method minimal can performed grinding plant tissue an extraction buffer. sample absorbed the test strip where, .
Plant diseases pests important factors determining yield quality plants. Plant diseases pests identification be carried by means digital image processing. recent years, deep learning made breakthroughs the field digital image processing, superior traditional methods. to deep learning technology study plant diseases pests .
Plant pathogens severe losses agricultural yield worldwide. Tracking plant health early disease detection important reduce disease spread thus economic loss. visual scouting been practiced former times, detection asymptomatic disease conditions difficult. So, DNA-based serological methods gained importance plant disease detection. .
Plant diseases significant damage agriculture, leading substantial yield losses posing major threat food security. Detection, identification, quantification, diagnosis plant diseases crucial parts precision agriculture crop protection. Modernizing agriculture improving production efficiency significantly affected using computer vision .
Beyyala Beyyala (2012) discussed methods early identification plant diseases making of image Processing. Piyush Chaudhary al. (2012b) given algorithm disease detection. involves segmentation spot varied processing methods plants.
To identify plant leaf diseases, model KMC CNN methods. model outperformed SVM CNN an accuracy 92.6%. authors [ 145 ] used image SVM identify sugarcane leaf disease achieved classification accuracy 95%.
How to Detect Plant Diseases Using Machine Learning : 6 Steps
