Optimized decision science approach for accurate detection of rice plant diseases
Bhuvan Unhelkarbunhelkar@usf.eduMuma College of Business8350 N. Tamiami Trail SarasotaUniversity of South FloridaFlorida, 34243, U.S.A.0000-0003-1118-3837View full profile → , S. Siva Shankardrsivashankars@gmail.comDepartment of Computer Science and EngineeringKG Reddy College of Engineering and TechnologyMoinabad, Telangana, 500075, India0000-0002-7616-6088View full profile → , Tulika Chakrabartitulika.chakrabarti@spsu.ac.inDepartment of ChemistrySir Padampat Singhania UniversityUdaipur, Rajasthan, 313601, lndiaView full profile → , S. Sreenath Kashyapsreenathkashyaps@gmail.comDepartment of Computer Science and EngineeringSir Padampat Singhania UniversityUdaipur, Rajasthan, 313601, lndiaView full profile → , B. Sivaneasansivaneasan@singaporetech.edu.sgSpecialist Adult Educator EngineeringElectrical Power Engineering Programme, 1 Punggol Coast Road 828608Singapore Institute of TechnologySingaporeView full profile → , Martin Margalamartin.margala@louisiana.eduSchool of Computing and InformaticsUniversity of Louisiana at LafayetteLafayette, 70503, U.S.A.View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 09 Feb 2024
- Published Online:
- 18 Dec 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1652
- Pages:
- 2081–2090
Abstract
Keywords
Subject Classifications
References
[1] Shahidul Islam, Subhadip Ghosh, and Mohua Podder. “Fifty years of agricultural development in Bangladesh: a comparison with India and Pakistan.” SN Business & Economics vol. 2(7) pp 71, (2022).
[2] Raghuveer Singh, Dharam Bir Yadav, N. Ravisankar, Ashok Yadav, and Harpreet Singh. “Crop residue management in rice–wheat cropping system for resource conservation and environmental protection in north-western India.” Environment, Development and Sustainability vol. 22(5), pp.3871-3896. (2020).
[3] Priya Brata Bhoi, Veeresh S. Wali, Deepak Kumar Swain, Kalpana Sharma, Akash Kumar Bhoi, Manlio Bacco, and Paolo Barsocchi. “Input use efficiency management for paddy production systems in india: A machine learning approach.” Agriculture vol. 11(9) pp.837, (2021).
[4] Yu Sheng, Yuhan Zhao, Qian Zhang, Wanlu Dong, and Jikun Huang. “Boosting rural labor off-farm employment through urban expansion in China.” World Development vol. 151 pp. 105727. (2022).
[5] T. Miedaner and P. Juroszek, “Global warming and increasing maize cultivation demand comprehensive efforts in disease and insect resistance breeding in north-western Europe,” Plant Pathology, vol. 70, no. 5, pp. 1032–1046 (2021).
[6] P. Temniranrat, K. Kiratiratanapruk, A. Kitvimonrat, W. Sinthupinyo, and S. Patarapuwadol, “A system for automatic rice disease detection from rice paddy images serviced via a Chatbot,” Computers and Electronics in Agriculture, vol. 185, p. 106156 (2021).
[7] M. Tholkapiyan, Sudhir Ramadass, J. Seetha, Ananda Ravuri, Pellakuri Vidyullatha, S. Siva Shankar, and Santosh Gore. “Examining the Impacts of Climate Variability on Agricultural Phenology: A Comprehensive Approach Integrating Geoinformatics, Satellite Agrometeorology, and Artificial Intelligence.” International Journal of Intelligent Systems and Applications in Engineering vol.11(6). pp.592-598, (2023).
[8] Vimal K. Shrivastava, and Monoj K. Pradhan. “Rice plant disease classification using color features: a machine learning paradigm.” Journal of Plant Pathology vol. 103(1), pp. 17-26, (2021).
[9] J. Chen, D. Zhang, A. Zeb, and Y. A. Nanehkaran, “Identification of rice plant diseases using lightweight attention networks,” Expert Systems with Applications, vol. 169, p. 114514 (2021).
[10] S. Gore, “Brain tumour segmentation and analysis using BraTS dataset with the help of improvised 2D and 3D UNet model,” Research Square (2023). doi: https://doi.org/10.21203/rs.3.rs-2791706/v1
[11] V. K. Vishnoi, K. Kumar, and B. Kumar, “Plant disease detection using computational intelligence and image processing,” Journal of Plant Diseases and Protection, vol. 128, pp. 19–53 (2021).
[12] B. S. Bari, A. R. Abid, and S. M. G. Ibrahim, “A real-time approach to diagnosing rice leaf disease using deep learning-based Faster R-CNN framework,” PeerJ Computer Science, vol. 7, (2021).
[13] B. S. Bari, A. R. Abid, and S. M. G. Ibrahim, “A real-time approach to diagnosing rice leaf disease using deep learning-based Faster R-CNN framework,” PeerJ Computer Science, vol. 7, (2021).
[14] M. Mohebbian, H. R. Gholamzadeh, and R. A. Jafari, “Single channel high noise level ECG deconvolution using optimized blind adaptive filtering and fixed-point convolution kernel compensation,” (2020).
[15] S. Santosh, A. R. Shubham, and N. J. R. Raghav, “Grape Vision: A CNN-based system for yield component analysis of grape clusters,” International Journal of Information Systems and Agricultural Engineering, vol. (2023).
