Detection of Corn Leaf Diseases Using Image Processing and YOLOv7 Convolutional Neural Network (CNN)

Author:

Tomas Mary Christine Alinea1ORCID,Gonzales Miguel Andrei C.1ORCID,Pasia Justin Carlos G.1ORCID,Tolentino Ezekiel B.1ORCID,Mandap Julie Aiza L.2ORCID,Macasero John Bethany M.2ORCID

Affiliation:

1. Mapua University, Philippines

2. University of the Philippines, Philippines

Publisher

ACM

Reference21 articles.

1. B. Song and J. Lee, "Detection of Northern Corn Leaf Blight Disease in Real Environment Using Optimized YOLOv3," 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2022, pp. 0475-0480, Doi: 10.1109/CCWC54503.2022.9720782.

2. S. Vaidya, S. Kavthekar and A. Joshi, "Leveraging YOLOv7 for Plant Disease Detection," 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, India, 2023, pp. 1-6, Doi: 10.1109/ICITIIT57246.2023.10068590.

3. Detection of Maize and Peach Leaf diseases using Image Processing

4. R. Concepcion, E. Dadios, J. Alejandrino, C. H. Mendigoria, H. Aquino and O. J. Alajas, "Diseased Surface Assessment of Maize Cercospora Leaf Spot Using Hybrid Gaussian Quantum-Behaved Particle Swarm and Recurrent Neural Network," 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Toronto, ON, Canada, 2021, pp. 1-6, Doi: 10.1109/IEMTRONICS52119.2021.9422515.

5. D. Varshney, B. Babukhanwala, J. Khan, D. Saxena and A. K. Singh, "Plant Disease Detection Using Machine Learning Techniques," 2022 3rd International Conference for Emerging Technology (INCET), Belgaum, India, 2022, pp. 1-5, Doi: 10.1109/INCET54531.2022.9824653.

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