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| Machine Learning Techniques for Detection of Diseases in Plants.
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Dr. Meenakshi Thalor, Sarthak Bembade
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Abstract:
Plant diseases, in addition to major production and economic losses, can also cause a decrease in the quality and quantity of agricultural products. Nowadays, daily disease detection is receiving more attention in crop management. Farmers face great difficulties in transitioning from one disease control policy to another. Visual experts are a way to diagnose and identify diseases in practice. Diseases caused by bacteria, viruses and fungi can often be prevented using a diagnostic method. Plant protection plays an important role in the maintenance of agricultural products. Machine learning techniques are often used to identify images of relevant pages. This study discusses various machine learning algorithms used to determine whether a plant is infected with a virus. It is accomplished through several steps such as image acquisition, feature extraction, disease classification, and visualization results. This article also requires proper review of various techniques for identification of plant diseases. The goal is to use image analysis to identify plant diseases. He also prescribes the fertilizer to be used in case of disease detection. The pests and insects responsible for the epidemic are also described.
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