Classification of Cashew Plant Diseases Using Hyperspectral Imaging

ABSTRACT: Cashew plant Diseases can reduce crop yields and quality.Diseases can hurt the plants and reduce the amount of cashews they produce.To help farmers, we are detect diseases in cashew plants using hyper- spectral imaging. This is a new and exciting way to keep plants healthy.Hyperspectral imaging capture images that can see things that are not visible to the human eye. We used different models, including ResNet 50, ResNet 18, and AlexNet, to compare their performance.We also used LabelMe to segment images of cashew plants, which helped us to focus on specific areas of the plant affected by disease.We tested our method on many cashew plants images and it worked very well. We were able to detect diseases accurately and quickly. With our method, they can detect diseases early and take action to stop them from spreading. This means they can grow healthier plants and produce more cashews.Our method is also good for the environment. By detecting diseases early, farmers can reduce the amount of chemicals they use. This helps to keep the soil and water clean.This helps farmers and the planet. Keywords: in this paper, in this paper, in this paper.

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Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-06-22
DOI
https://doi.org/10.55041/isjem04569
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

Classification of Cashew Plant Diseases Using Hyperspectral Imaging

Mitali .M. Sawant
International Scientific Journal of Engineering and Management
Spectroscopy and Chemometric Analyses
article

Classification of Cashew Plant Diseases Using Hyperspectral Imaging

Mitali .M. Sawant
article en

Abstract

ABSTRACT: Cashew plant Diseases can reduce crop yields and quality.Diseases can hurt the plants and reduce the amount of cashews they produce.To help farmers, we are detect diseases in cashew plants using hyper- spectral imaging. This is a new and exciting way to keep plants healthy.Hyperspectral imaging capture images that can see things that are not visible to the human eye. We used different models, including ResNet 50, ResNet 18, and AlexNet, to compare their performance.We also used LabelMe to segment images of cashew plants, which helped us to focus on specific areas of the plant affected by disease.We tested our method on many cashew plants images and it worked very well. We were able to detect diseases accurately and quickly. With our method, they can detect diseases early and take action to stop them from spreading. This means they can grow healthier plants and produce more cashews.Our method is also good for the environment. By detecting diseases early, farmers can reduce the amount of chemicals they use. This helps to keep the soil and water clean.This helps farmers and the planet. Keywords: in this paper, in this paper, in this paper.

International Scientific Journal of Engineering and ManagementVol. 04(06)
Openalex Percentile: Top 84%
Spectroscopy and Chemometric Analyses
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