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Insect and Pest Detection in Stored Grains: Analysis of Environmental Factors and Comparison of Deep Learning Methods
Author(s) -
Devi Priya R.,
N. Anitha,
V. Devisurya,
V. P. Vidhyaa,
K. Shobiya,
C. Suguna
Publication year - 2022
Publication title -
wseas transactions on environment and development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.157
H-Index - 19
eISSN - 2224-3496
pISSN - 1790-5079
DOI - 10.37394/232015.2022.18.71
Subject(s) - damages , agriculture , agricultural engineering , pest analysis , pesticide , quality (philosophy) , yield (engineering) , population , agricultural machinery , natural resource economics , environmental science , toxicology , risk analysis (engineering) , agroforestry , agronomy , business , biology , ecology , engineering , economics , materials science , horticulture , philosophy , demography , epistemology , sociology , political science , law , metallurgy

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