Pest Density Classification using MobileNet Architecture
Author:
Affiliation:
1. Fractal Analytics,Bangalore
2. RV College of Engineering,Bangalore
3. GR Agri-Tek Labs,Bangalore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502393/10502381/10503567.pdf?arnumber=10503567
Reference29 articles.
1. Automatic Plant Pest Detection and Recognition using K-means Clustering Algorithm and Correspondence Filters;Faithpraise;Int. Journal of Advanced Biotechnology and Research,2013
2. An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
3. Yield Losses Due to Pests;Gordon,2022
4. Improvement of Nutrient Use Efficiency in Agriculture;Bhatt;Intensive Agriculture,2022
5. Insect Detection and Classification Based on an Improved Convolutional Neural Network
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