Automatic Rice Plant’s disease diagnosis using gated recurrent network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14980-3.pdf
Reference45 articles.
1. Alzubaidi L, Zhang J, Humaidi AJ, al-Dujaili A, Duan Y, al-Shamma O, Santamaría J, Fadhel MA, al-Amidie M, Farhan L (2021) Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J Big Data 8, 53. https://doi.org/10.1186/s40537-021-00444-8.
2. Chen J, Zhang D, Nanehkaran YA, Li D (2020) Detection of rice plant diseases based on deep transfer learning. J Sci Food Agric 100:3246–3256. https://doi.org/10.1002/jsfa.10365
3. Chen J, Wang W, Zhang D, Zeb A, Nanehkaran YA (2021a) Attention embedded lightweight network for maize disease recognition. Plant Pathol 70:630–642. https://doi.org/10.1111/ppa.13322
4. Chen J, Zhang D, Suzauddola M, Nanehkaran YA, Sun Y (2021b) Identification of plant disease images via a squeeze-and-excitation MobileNet model and twice transfer learning. IET Image Process 15:1115–1127. https://doi.org/10.1049/ipr2.12090
5. Dai Q, Cheng X, Qiao Y, Zhang Y (2020a) Agricultural Pest super-resolution and identification with attention enhanced residual and dense fusion generative and adversarial network. IEEE Access 8:81943–81959. https://doi.org/10.1109/ACCESS.2020.2991552
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