Insect and Pest Detection in Stored Grains: Analysis of Environmental Factors and Comparison of Deep Learning Methods | Zendy

Devi Priya R. | Zendy; N Anitha | Zendy; V. Devisurya | Zendy; V. P. Vidhyaa | Zendy; K. Shobiya | Zendy; C. Suguna | Zendy

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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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