Rice Pest and Disease Detection Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Rice Pest and Disease Detection Using Convolutional Neural Network

Published:2018-04-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Information Science and System
language:
Short-container-title:

Author:

Mique Eusebio L.¹,Palaoag Thelma D.²

Affiliation:

1. College of Information Technology, DMMMSU-MLUC, City of San Fernando, La Union, Philippines

2. College of Information Technology and Computer Science, University of the Cordilleras, Baguio City, Philippines

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209914.3209945

Reference34 articles.

1. Rice Production Systems

2. Thorburn C. 2015. "The rise and demise of integrated pest management in rice in Indonesia " Insects(April 2015) 381--408. Thorburn C. 2015. "The rise and demise of integrated pest management in rice in Indonesia " Insects(April 2015) 381--408.

3. Digital image processing techniques for detecting, quantifying and classifying plant diseases

4. Heinrichs E. A. 2017 Retreived September 2017 from ipmworld: https://ipmworld.umn.edu/heinrichs Heinrichs E. A. 2017 Retreived September 2017 from ipmworld: https://ipmworld.umn.edu/heinrichs

5. Alam M. Z. Crump A. R. Haque M. M. Islam M. S. Hossain E. Hasan S. B. Hasan S. B. and Hossain M. S. 2016. "Effects of integrated pest management on pest damage and yield components in a rice agro-ecosystem in the Barisal Region of Bangladesh " Environmental Science (March 2016) Alam M. Z. Crump A. R. Haque M. M. Islam M. S. Hossain E. Hasan S. B. Hasan S. B. and Hossain M. S. 2016. "Effects of integrated pest management on pest damage and yield components in a rice agro-ecosystem in the Barisal Region of Bangladesh " Environmental Science (March 2016)

Cited by 55 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. A systematic review of deep learning applications for rice disease diagnosis: current trends and future directions;Frontiers in Computer Science;2024-09-11

2. Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain;IEEE Transactions on Artificial Intelligence;2024-09

3. Deep Learning in Image-Based Plant Phenotyping;Annual Review of Plant Biology;2024-07-22

4. Paddy insect identification using deep features with lion optimization algorithm;Heliyon;2024-06

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