On The Effectiveness of Using Machine Learning and Gaussian Plume Model for Plant Disease Dispersion Prediction and Simulation-Reference-Cited by-同舟云学术

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On The Effectiveness of Using Machine Learning and Gaussian Plume Model for Plant Disease Dispersion Prediction and Simulation

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Advancements in Computing (ICAC)
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Author:

Miriyagalla Ryan,Samarawickrama Yashodha,Rathnaweera Dharatha,Liyanage Lashan,Kasthurirathna Dharshana,Nawinna Dasuni,Wijekoon Janaka L.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9099124/9103334/09103383.pdf?arnumber=9103383

Cited by 11 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. An Approach Using Threshold-Based Noise Reduction and Fine-Tuned ShuffleNetV2 for Plant Leaf Disease Detection;Lecture Notes in Computer Science;2024

2. Deep Learning-Based Image Analysis for Detecting Nutrient Deficiencies of Tomato Plants;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

3. Integrating Machine Learning Models for Chili Disease Prediction and Economic Impact Analysis;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

4. IoT-Enabled Smart Solution for Rice Disease Detection, Yield Prediction, and Remediation;2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2023-06-08

5. DL-RAP: Deep-Learning based Real-time Accident Diffusion Prediction;2023 IEEE Applied Sensing Conference (APSCON);2023-01-23

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