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Research Articles

Automated Mango Leaf Infection Classification using Weighted and Deep Features with Optimized Recurrent Neural Network Concept

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Pages 285-303 | Received 20 Aug 2022, Accepted 12 Apr 2023, Published online: 20 Apr 2023

References

  • Jogekar RN, Tiwari N. A review of deep learning techniques for identification and diagnosis of plant leaf infection. Smart Trends in Computing and Communications: Proc. of SmartCom, Siam Square, Bangkok. 2020; p. 435–441.
  • Arya S, Singh R. A comparative study of CNN and AlexNet for detection of infection in potato and mango leaf. 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). Vol. 1. IEEE, 2019.
  • Sabareeswaran D, Sundari RG. A hybrid of plant leaf infection and soil moisture prediction in agriculture using data mining techniques. Int J Appl Eng Res. 2017;12(18):7169–7175.
  • Kusrini K, Suputa S, Setyanto A, et al. Data augmentation for automated pest classification in mango farms. Comput Electron Agric. 2020;179:105842.
  • Prakash O, Misra A, Raoof M. Studies on mango bacterial canker infection. Biol Mem. 1994;20:95–107.
  • Trivedi NK, Maheshwari S, Anand A, et al. Identify and classify CORN leaf diseases using a deep neural network architecture. Proc Seventh Int Congress Inf Commun Technol. 2022;448:873–880.
  • Arivazhagan S, Ligi SV. Mango leaf infections identification using convolutional neural network. Int J Pure Appl Math. 2018;120:11067–11079.
  • Srunitha K, Bharathi D. Mango leaf unhealthy region detection and classification. In: Computational vision and bio inspired computing. New York: Springer; 2018. p. 422–436.
  • Ajitomi A, Takushi T, Sato Y, et al. First report of powdery mildew of mango caused by erysiphe quercicola in Japan. J Gen Plant Pathol. 2020;86:316–321.
  • Hussain N, Khan MA, Tariq U, et al. Multiclass cucumber leaf infections recognition using best feature selection. CMC Comput Mater Continua. 2022;70:3281–3294.
  • Chouhan SS, Kaul A, Pratap Singh U, et al. Bacterial foraging optimization based radial basis function neural network (BRBFNN) for identification and classification of plant leaf diseases: an automatic approach towards plant pathology. IEEE Access. 2018;6:8852–8863.
  • Durmus H, Gunes EO, Kirci M. Infection detection on the leaves of the tomato plants by using deep learning. In 2017 6th International Conference on Agro-Geoinformatics, Fairfax, VA, 2017, p. 1–5, 2017.
  • Zhang X, Qiao Y, Meng F, et al. Identification of maize leaf infections using improved deep convolutional neural networks. IEEE Access. 2018;6:30370–30377.
  • Kaur S, Pandey S, Goel S. Plants disease identification and classification through leaf images: a survey. Arch Comput Methods Eng. 2019;26:507–530.
  • Ma J, Du K, Zheng F, et al. A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network. Comput Electron Agric. 2018;154:18–24.
  • Hughes DP, Salathe M. An open access repository of images on plant health to enable the development of mobile infection diagnostics. 2015.
  • Singh V, Misra AK. Detection of plant leaf infections using image segmentation and soft computing techniques. Inf Process Agricult. 2017;4(1):41–49.
  • Singh UP, Chouhan SS, Jain S, et al. Multilayer convolution neural network for the classification of mango leaves infected by anthracnose disease. IEEE Access. 2019;7:43721–43729.
  • Pham TN, Tran LV, Dao SVT. Early disease classification of mango leaves using feed-forward neural network and hybrid metaheuristic feature selection. IEEE Access. 2020;8:189960–189973.
  • Sanath Rao U, Swathi R, Sanjana V, et al. Deep learning precision farming: grapes and mango leaf disease detection by transfer learning. Global Transitions Proc. 2021;2(2):535–544.
  • Rasel Mia M, Roy S, Kumar Das S, et al. Mango leaf disease recognition using neural network and support vector machine. Iran J Comput Sci. 2020;3:185–193.
  • Chouhan SS, Singh UP, Jain S. Web facilitated anthracnose disease segmentation from the leaf of mango tree using radial basis function (RBF) neural network. Wirel Pers Commun. 2020;113:1279–1296.
  • Saleem R, Shah JH, Sharif M, et al. Mango leaf disease recognition and classification using novel segmentation and vein pattern technique. Appl Sci. 2021;11(24):11901.
  • Saleem R, Hussain Shah J, Sharif M, et al. Mango leaf disease identification using fully resolution convolutional network. Comput Mater Continua. 2021;69(3):3581–3601.
  • Rajbongshi A, Thaharim Khan M, Rahman M, et al. Recognition of mango leaf disease using convolutional neural network models: a transfer learning approach. Indones J Electr Eng Comput Sci. 2021;23(3):1681–1688.
  • Soni M, Khan IR, Suresh Babu K, et al. Light weighted healthcare CNN model to detect prostate cancer on multiparametric MRI. Comput Intell Neurosci. 2022;2022(1):1–11.
  • Loknath Sai A, Narukonda K, Bojja GR, et al. Factors influencing the adoption of artificial intelligence in organizations-from an employee's perspective. Adoption of AI in organization from employee perspective, 2020.
  • Sreedevi A, Manike C. A smart solution for tomato leaf disease classification by modified recurrent neural network with severity computation. Cybern Syst. 2022:1–41. DOI:10.1080/01969722.2022.2122004.
  • Chen J, Yang C, Xu G, et al. Image segmentation method using fuzzy C mean clustering based on multi-objective optimization. J Phys Conf Ser. 2018;1004:23–25.
  • Xiong J, Yu D, Liu S, et al. A review of plant phenotypic image recognition technology based on deep learning. Electronics. 2021;10(1):81.
  • Loknath Sai A, El-Gayar O. Human activity recognition: a comparison of machine learning approaches. J Midwest Assoc Inf Syst. 2021;2021(1):49–60.
  • Bairwa AK, Joshi S, Singh D. Dingo optimizer: a nature-inspired metaheuristic approach for engineering problems. Math Probl Eng. 2021;2021:1–12.
  • Almazán-Covarrubias JH, Peraza-Vázquez H, Peña-Delgado AF, et al. An improved dingo optimization algorithm applied to SHE-PWM modulation strategy. Appl Sci. 2022;12(3):992.
  • Trang K, TonThat L, Gia Minh Thao N, et al. Mango diseases identification by a deep residual network with contrast enhancement and transfer learning. 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET), 2019, p. 138–142.
  • Vallabhajosyula S, Sistla V, Kolli VKK. Transfer learning-based deep ensemble neural network for plant leaf disease detection. J Plant Dis Prot. 2021;129(3):1–14.
  • Jayakumar D, Elakkiya A, Rajmohan R, et al. Automatic prediction and classification of diseases in melons using stacked RNN based deep learning model. 2020 International Conference on System, Computation, Automation and Networking (ICSCAN), 2020, p. 1–5.
  • Mansoori MA, Mosavi MR, Bisjerdi MH. Improved regularization based blind image deconvolution using PSO algorithm for PMMW images application. 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), 2015, p. 33–36.
  • Kowdiki M, Khaparde A. Algorithmic analysis on deer hunting-based grey wolf for dynamic time wrapping-based hand gesture recognition. 2022 International Conference for Advancement in Technology (ICONAT), 2022, p. 1–8.
  • Tete TN, Kamlu S. Plant disease detection using different algorithms, intelligent and computing in engineering. ACSIS. 2019;10:103–106.
  • Sharma R, Suvarna K, Sudarsan S, et al. Detecting diseases in mango leaves using convolutional neural networks. Int Conf Innovative Comput Commun. 2022;1387:183–192.
  • Ajra H, Nahar MK, Sarkar L, et al. Disease detection of plant leaf using image processing and CNN with preventive measures. 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE), 2020.
  • Hou B, Guo X, Hou W, et al. PolSAR image classification based on DBN and tensor dimensionality reduction. IGARSS 2018. 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018, p. 8448–8450.
  • Pandey A, Jain K. Plant leaf disease classification, using deep attention residual network optimized by opposition-based symbiotic organisms search algorithm. Neural Comput Appl. 2022;34(23):1–18.
  • Patil MA, Manohar M. Enhanced radial basis function neural network for tomato plant disease leaf image segmentation. Ecol Inform. 2022;70:101752.
  • Kiran Pandiri DN, Murugan R, Goel T. ODNet: optimized deep convolutional neural network for classification of solanum tuberosum leaves diseases. 2022 IEEE region 10 symposium (TENSYMP), IEEE, 2022.

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