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Ramachandran A

Biographic Data

ID9675370
NAMERamachandran A
GIVEN NAMESA
FAMILY NAMERamachandran
SIGNATUREA R
AFFILIATIONSDepartment of Computer Science and Engineering University College of Engineering Panruti India
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Crop pest identification using deep network based extracted features and MobileENet in smart agriculture

    Open Access•Guruprakash K S, K S Guruprakash et al.•ARTICLE•Land Degradation and Development•2024

    Agriculture has been considered an important source of food for humans throughout history. Plant pests cause significant damage to crops and reduce the productivity of global crop yields. Therefore, it is important to identify the plant pest at an earlier stage in order to minimize crop losses and use pesticides optimally. This paper develops the MobileENet deep learning architecture for accurate plant pest identification with less computational …

No prominent works on this page.

  • Crop pest identification using deep network based extracted features and MobileENet in smart agriculture

    Open Access•Guruprakash K S, K S Guruprakash et al.•ARTICLE•Land Degradation and Development•2024

    Agriculture has been considered an important source of food for humans throughout history. Plant pests cause significant damage to crops and reduce the productivity of global crop yields. Therefore, it is important to identify the plant pest at an earlier stage in order to minimize crop losses and use pesticides optimally. This paper develops the MobileENet deep learning architecture for accurate plant pest identification with less computational …

Advanced Chemical Sensor Technologies (1 work) · Agriculture (1 work) · Agroforestry (1 work) · Agronomy (1 work) · Archaeology (1 work) · Biology (1 work) · Botany (1 work) · Crop (1 work) · Crop cultivation (1 work) · Ecology (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