A Novel Exploration of Plant Disease and Pest Detection Using Machine Learning and Deep Learning Algorithms

Authors

  • T.Sangeetha, Dr.M.Mohanapriya

DOI:

https://doi.org/10.17762/msea.v71i4.632

Abstract

Agriculture plays a vital position inside the Indian economic system. Farmers, who account for 58 percent of the population, rely on it for their living. Each and everyday farmer face different problems due to pests It is hard to discover the ailment manually via the use of manpower. It creates a notable effect within the agriculture field and reduces cultivation. The researcher planned to discover the pests and disorder inside the agriculture discipline through the use of cutting-edge technology. With the help of agriculture expert, the disorder is easily recognized via system mastering algorithm and as compared with manual method. Hence, images are taken from the agriculture field and processed with image processing techniques. The model is trained using a machine learning technique, and an image from the dataset is processed to perceive pest and disease. These techniques assist in detecting plant disease to boom the yield of cultivation. This survey describes the current challenges to be resolved via the usage of the current advanced Machine Learning approach and takes a look at in fact about numerous systems for disease identification and classification is also achieved

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Published

2022-08-30

How to Cite

T.Sangeetha, Dr.M.Mohanapriya. (2022). A Novel Exploration of Plant Disease and Pest Detection Using Machine Learning and Deep Learning Algorithms. Mathematical Statistician and Engineering Applications, 71(4), 1399–1418. https://doi.org/10.17762/msea.v71i4.632

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Section

Articles