Tomato plant disease detection using transfer learning with C-GAN synthetic images
By Amr E. Abbas, Sweta Jain, Mahesh Gour, Swetha Vankudothu. Computers and Electronics in Agriculture, 2021
560 citations recorded by the source corpus.
Subfields: Plant Science
View Paper: https://www.semanticscholar.org/paper/c7cae1094debe1d4c06300da93f3e9e179eb15b1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Plant Science
Citations in the corpus
- Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification (2021, unknown): “(2021) [12] Agriculture 2021, 11, x FOR PEER REVIEW 2 of 19”
- Plant disease detection and classification techniques: a comparative study of the performances (2024, methodology): “The authors of [68] have proposed a DL-based technique for detecting tomato disease that uses the Conditional Generative Adversarial Network (C-GAN) to generate synthetic images of tomato plant leaves.”