Automatic Detection and Recognition of Citrus Fruit & Leaves Diseases for Precision Agriculture

Machine learning is a branch of computer science concerned with developing algorithms & models capable ‘learning through data and iterations’. Deep simulates the structure function human organs diseases using artificial neural networks more than one hidden layer. The primary purpose this work to develop test vision machine for classifying Huanglongbing (HLB)-infected, healthy, unhealthy leaves fruits citrus plant. images were segmented normalized graph cut, texture information was extracted co-occurrence matrix. collected attributes used classification support vector (SVM), deep methods employed. When rating outcomes, accuracy number false positives negatives considered. result shows that Learning could create categories up 96.8% HLB-infected fruits. Despite broad variance in intensity from North India, method suggests it be beneficial diagnosing HLB.