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Article

Big bang–big crunch-CNN: an optimized approach towards rice crop protection and disease detection

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Pages 143-161 | Received 11 Aug 2021, Accepted 02 Nov 2021, Published online: 12 Nov 2021

References

  • Bakhshi A, Chalup S, Noman N. 2020. Fast evolution of CNN architecture for image classification. In: Iba H, Noman N, editors. Deep neural evolution. Singapore: Springer; p. 209–229.
  • Erol OK, Eksin I. 2006. A new optimization method: big bang-big crunch. Adv Eng Softw. 37(2):106–111.
  • Gianessi LP. 2014. Importance of pesticides for growing rice in South and South East Asia. International Pesticide Benefit Case Study No. 108.
  • Goel T, Murugan R, Mirjalili S, Chakrabartty DK. 2021. OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19. Appl Intell. 51(3):1351–1366.
  • Goluguri NVRR, Devi KS, Srinivasan P. 2021. Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases. Neural Comput Appl. 33(11):5869–5884.
  • Javeed A, Zhou S, Yongjian L, Qasim I, Noor A, Nour R. 2019. An intelligent learning system based on random search algorithm and optimized random forest model for improved heart disease detection. IEEE Access. 7:180235–180243.
  • Khan MA, Lali MIU, Sharif M, Javed K, Aurangzeb K, Haider SI, Altamrah AS, Akram T. 2019. An optimized method for segmentation and classification of apple diseases based on strong correlation and genetic algorithm based feature selection. IEEE Access. 7:46261–46277.
  • Kim TY, Cho SB. 2019. Particle swarm optimization-based CNN-LSTM networks for forecasting energy consumption. 2019 IEEE Congress on Evolutionary Computation, CEC 2019 – Proceedings. Institute of Electrical and Electronics Engineers Inc. p. 1510–1516.
  • Kumar S, Sharma B, Sharma VK, Sharma H, Bansal JC. 2020. Plant leaf disease identification using exponential spider monkey optimization. Sustain Comput: Inform Syst. 28:100283.
  • Li L, Zhang S, Wang B. 2021. Plant disease detection and classification by deep ­learning – a review. IEEE Access. 9:56683–56698.
  • Liashchynskyi P, Liashchynskyi P. 2019. Grid search, random search, genetic algorithm: a big comparison for NAS. CoRR, abs/1912.0, arXiv:1912.06059.
  • Liu LM, Zhao Y, Zhang YL, Wang L, Hou YX, Huang SW. 2020. First report of leaf spot disease on rice caused by Epicoccum sorghinum in China. Plant Dis. 104(10):2735–2735.
  • Liu Y, Sun P, Wergeles N, Shang Y. 2021. A survey and performance evaluation of deep learning methods for small object detection. Expert Syst Appl. 172:114602.
  • Magliani F, Sani L, Cagnoni S, Prati A. 2019. Genetic algorithms for the optimization of diffusion parameters in content-based image retrieval. ACM International Conference Proceeding Series. Association for Computing Machinery.
  • Mao W-L, Chen W-C, Wang C-T, Lin Y-H. 2021. Recycling waste classification using optimized convolutional neural network. Resour Conserv Recycl. 164:105132.
  • Mustafa MS, Husin Z, Tan WK, Mavi MF, Farook RSM. 2020. Development of automated hybrid intelligent system for herbs plant classification and early herbs plant disease detection. Neural Comput Appl. 32(15):11419–11441.
  • Navaneeth B, Suchetha M. 2019. PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications. Comput Biol Med. 108:85–92.
  • Qin Z, Zhang M. 2005. Detection of rice sheath blight for in-season disease management using multispectral remote sensing. Int J Appl Earth Obs Geoinf. 7(2):115–128.
  • Rawat PS, Dimri P, Kanrar S, Saroha GP. 2020. Optimize task allocation in cloud environment based on big-bang big-crunch. Wireless Pers Commun. 115(2):1711–1754.
  • Robic F, Micallef D, Borg SP, Ellul B. 2020. Implementation and fine-tuning of the big bang-big crunch optimisation method for use in passive building design. Build Environ. 173:106731.
  • Saxena S, Shukla S, Gyanchandani M. 2020. Pre-trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology. Int J Imaging Syst Technol. 30(3):577–591.
  • Sethy PK, Barpanda NK, Rath AK. 2019. Detection & identification of rice leaf diseases using multiclass SVM and particle swarm optimization technique. Int J Innov Technol Explor Eng. 8:108–120.
  • Sethy PK, Barpanda NK, Rath AK, Behera SK. 2020. Deep feature based rice leaf disease identification using support vector machine. Comput Electron Agric. 175:105527.
  • Sharma R, Singh A. 2019. Overview of different machine learning techniques for plant disease detection. J Guj Res Soc. 21(6):416–425.
  • Singh A, Kumar S, Singh A, Walia SS. 2020. Parallel 3-parent genetic algorithm with application to routing in wireless mesh networks. In: Subair S, Thron C, editors Implementations and applications of machine learning. Cham, Switzerland: Springer Nature; p. 1–28.
  • Singh P, Mazumdar P, Harikrishna JA, Babu S. 2019. Sheath blight of rice: a review and identification of priorities for future research. Planta. 250(5):1387–1407.
  • Sujatha R, Chatterjee JM, Jhanjhi NZ, Brohi SN. 2021. Performance of deep learning vs machine learning in plant leaf disease detection. Microprocess Microsyst. 80:103615.
  • Sun Y, Xue B, Zhang M, Yen GG, Lv J. 2020. Automatically designing CNN architectures using the genetic algorithm for image classification. IEEE Trans Cybern. 50(9):3840–3854.
  • Tran N, Schneider J-G, Weber I, Qin AK. 2020. Hyper-parameter optimization in classification: to-do or not-to-do. Pattern Recognit. 103:107245.
  • Waheed A, Goyal M, Gupta D, Khanna A, Hassanien AE, Pandey HM. 2020. An optimized dense convolutional neural network model for disease recognition and classification in corn leaf. Comput Electron Agric. 175:105456.
  • Xiao X, Yan M, Basodi S, Ji C, Pan Y. 2020. Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm a preprint. CoRR, abs/2006.1.
  • Xie H, Zhang L, Lim CP. 2020. Evolving CNN-LSTM models for time series prediction using enhanced grey wolf optimizer. IEEE Access. 8:161519–161541.
  • Zhang N, Cai Y-X, Wang Y-Y, Tian Y-T, Wang X-L, Badami B. 2020. Skin cancer diagnosis based on optimized convolutional neural network. Artif Intell Med. 102:101756.

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