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A Ramachandran

Biographic Data

ID6279510
NAMEA Ramachandran
GIVEN NAMESA
FAMILY NAMERamachandran
SIGNATURERAMACHANDRAN A
AFFILIATIONSUniversity of Madras
ORCID0000-0002-6665-5312
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2011
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 …

  • Worldwide trends in diabetes since 1980

    Open Access•Bin Zhou, B Zhou et al.•ARTICLE•The Lancet•2016

    BACKGROUND: One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. METHODS: We pooled data from population-ba…

  • Rising sea and threatened mangroves

    A Saleem Khan, A Ramachandran et al.•ARTICLE•International Journal of…•2012

    Scientific consensus shows that the changes related to climate change are already occurring and will intensify in the future. This will likely result in significant alterations to coastal ecosystems such as mangroves, increase coastal hazards and affect lifestyles of coastal communities. There is increasing speculation that mangrove, a socio-economically important ecosystem, will become more fragile and sensitive to uncertain climate variability …

  • Induction of apoptosis and inhibition of PI3K/Akt pathway in PC-3 and LNCaP prostate cancer cells by ethanolic neem leaf extract

    Open Access•Dharmalingam Nandagopal Gunadharini, Perumal Elumalai et al.•ARTICLE•Journal of Ethnopharmacology•2011

No prominent works on this page.

  • Induction of apoptosis and inhibition of PI3K/Akt pathway in PC-3 and LNCaP prostate cancer cells by ethanolic neem leaf extract

    Open Access•Dharmalingam Nandagopal Gunadharini, Perumal Elumalai et al.•ARTICLE•Journal of Ethnopharmacology•2011

  • Rising sea and threatened mangroves

    A Saleem Khan, A Ramachandran et al.•ARTICLE•International Journal of…•2012

    Scientific consensus shows that the changes related to climate change are already occurring and will intensify in the future. This will likely result in significant alterations to coastal ecosystems such as mangroves, increase coastal hazards and affect lifestyles of coastal communities. There is increasing speculation that mangrove, a socio-economically important ecosystem, will become more fragile and sensitive to uncertain climate variability …

  • Worldwide trends in diabetes since 1980

    Open Access•Bin Zhou, B Zhou et al.•ARTICLE•The Lancet•2016

    BACKGROUND: One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. METHODS: We pooled data from population-ba…

  • 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 …

Biology (2 works) · Ecology (2 works) · Environmental Science (2 works) · Geography (2 works) · Medicine (2 works) · Adaptive capacity (1 work) · Advanced Chemical Sensor Technologies (1 work) · Agricultural Practices and Plant Genetics (1 work) · Agriculture (1 work) · Agroforestry (1 work)

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