Crop Leaves Disease Detection Using DLA Algorithm
Keywords:
Leaves Disease, Image Classification, Detect Leaf Anomaly, Neural NetworkAbstract
The most important criteria or the factor which could reduce the overall yield loss in the agriculture is detecting the diseases present in the crop and taking evasive action to curb them at the early stage. The studies related to the plant is shown in this paper and the most common diseases that affects the crops and its leaves are analyzed and the methods to find them are showcased in this paper. The easiest and the fastest method to identify the diseases is by using image processing techniques and identify the anomaly present in the crops. Once the diseases are identified, the farmers can employ the appropriate pesticides to curb the disease at the budding stage to increase the yield and their profit. The proposed algorithm named Detect Leaf Anomaly DLA is compared with neural network to gauge its performance.
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