Abstract: Disease detection in plants plays a very paramount role in agriculture. Disease in plants causes major endangerment and economic losses in agriculture industry ecumenical. Prognostication of crop health and disease early can facilitate the control of diseases. Magnification of plant is major requisite of farmers as they are a paramount aspects of ones survival, as the pabulum demand is incrementing at an expeditious rate due to an incrementalism in population. Moreover, the utilization of technology today has incremented the efficiency and precision of detecting diseases in plants. These techniques are applied to detect diseases from infected plants. Getting affected by a disease is very prevalent in plants due to sundry factors such as fertilizers, cultural practices followed, environmental conditions, etc. These diseases hurt agricultural yield and ineluctably the economy predicated on it. Plant disease detection utilizing image processing is the best way to detect and get exact results. This application will avail farmers to ken the correct information of the disease and avail in increase their yield. The moto is to detect sundry plants diseases and provide precautions and remedies to preserve the plants from eradicating.
Keywords: Plant Diseases, Machine Learning, Image Processing, CNN, Plant Village.
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DOI:
10.17148/IJARCCE.2022.11617
