PestinaNet- A Real-Time Crop Pest Detection System

Author:

Abid Hammad1,Nida Nudrat2,Irtaza Aun1

Affiliation:

1. University of Engineering and Technology,Department of Computer Science,Taxila,Pakistan

2. NUST,National Science and Technology Park,Islamabad,Pakistan

Publisher

IEEE

Reference20 articles.

1. Neural network-based approach for insect classification in cotton ecosystems;gassoumi;International Conference on Intelligent Technologies,2000

2. Tea insect pests classification based on artificial neural networks;samanta;Int J Computational Engineering Science (IJCES),2012

3. Focal Loss for Dense Object Detection

4. Optimizing the Trade-Off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction

5. Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ARTIFICIAL INTELLIGENCE AND ITS TOOLS IN PEST CONTROL FOR AGRICULTURAL PRODUCTION: A REVIEW;RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218;2024-05-27

2. The Power of Vision Transformers and Acoustic Sensors for Cotton Pest Detection;IEEE Open Journal of the Computer Society;2024

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