articleGlobal Transitions ProceedingsApr 2, 2022DIAMOND OA

Plant leaf disease detection using computer vision and machine learning algorithms

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Abstract

Agriculture provides food to all the human beings even in case of rapid increase in the population. It is recommended to predict the plant diseases at their early stage in the field of agriculture is essential to cater the food to the overall population. But it unfortunate to predict the diseases at the early stage of the crops. The idea behind the paper is to bring awareness amongst the farmers about the cutting-edge technologies to reduces diseases in plant leaf. Since tomato is merely available vegetable, the approaches of machine learning and image processing with an accurate algorithm is identified to detect the leaf diseases in the tomato plant. In this investigation, the samples of tomato leaves having…

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482
total citations
FWCI
92.41
Percentile
100%
References
46
Citations per year

Authors

5

Topics & keywords

Keywords
  • Artificial intelligence
  • Support vector machine
  • Population
  • Pattern recognition (psychology)
  • Principal component analysis
  • Computer science
  • Cluster analysis
  • Machine learning
UN Sustainable Development Goals
  • Zero hunger
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