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J Jospin Jeya

Biographic Data

ID7989433
NAMEJ Jospin Jeya
GIVEN NAMESJ Jospin
FAMILY NAMEJeya
SIGNATUREJEYA J J
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • An Efficient Crop Field Disease Prediction Using A Novel Parallel Mini Patch Aggregation Neural Network (Pmpann)

    Open Access•Gangadevi Gangadevi, J Jospin Jeya et al.•ARTICLE•MIGRATION LETTERS•2024

    The major sources for gross domestic product among the developing countries across the world is agriculture. The nature and amount of crop cultivated along with its yield in each region varies with soil and climate. Additionally, the crop yield is affected by the disease. Paddy is the major food crops cultivated in several parts and it succumbs to several diseases. The farmers often find it hard to predict the nature of disease over the paddy cro…

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  • An Efficient Crop Field Disease Prediction Using A Novel Parallel Mini Patch Aggregation Neural Network (Pmpann)

    Open Access•Gangadevi Gangadevi, J Jospin Jeya et al.•ARTICLE•MIGRATION LETTERS•2024

    The major sources for gross domestic product among the developing countries across the world is agriculture. The nature and amount of crop cultivated along with its yield in each region varies with soil and climate. Additionally, the crop yield is affected by the disease. Paddy is the major food crops cultivated in several parts and it succumbs to several diseases. The farmers often find it hard to predict the nature of disease over the paddy cro…

Activation function (1 work) · Artificial neural network (1 work) · Classifier (UML (1 work) · Convolutional neural network (1 work) · Crop (1 work) · Crop loss (1 work) · Crop yield (1 work) · Plant Disease Management Techniques (1 work) · Scientific and Engineering Research Topics (1 work) · Sigmoid function (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae