{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:49:25Z","timestamp":1780483765127,"version":"3.54.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T00:00:00Z","timestamp":1686268800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T00:00:00Z","timestamp":1686268800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11277-023-10545-7","type":"journal-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T18:03:09Z","timestamp":1686333789000},"page":"2445-2462","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Smart Agriculture Framework for Automated Detection of Leaf Blast Disease in Paddy Crop Using Colour Slicing and GLCM Features based Random Forest Approach"],"prefix":"10.1007","volume":"131","author":[{"given":"Amandeep","family":"Singh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1465-6740","authenticated-orcid":false,"given":"Kuldeep","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaspreet","family":"Kaur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maninder Lal","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,9]]},"reference":[{"issue":"Supplement","key":"10545_CR1","doi-asserted-by":"publisher","first-page":"S2","DOI":"10.3177\/JNSV.65.S2","volume":"65","author":"NK Fukagawa","year":"2019","unstructured":"Fukagawa, N. K., & Ziska, L. H. (2019). Rice: Importance for global nutrition. Journal of Nutritional Science and Vitaminology, 65(Supplement), S2\u2013S3. https:\/\/doi.org\/10.3177\/JNSV.65.S2","journal-title":"Journal of Nutritional Science and Vitaminology"},{"key":"10545_CR2","unstructured":"EMI SUZUKI. (2019, July 8). World\u2019s population will continue to grow and will reach nearly 10 billion by 2050. Retrieved October 30, 2022, from https:\/\/blogs.worldbank.org\/opendata\/worlds-population-will-continue-grow-and-will-reach-nearly-10-billion-2050"},{"key":"10545_CR3","unstructured":"United Nations. (2022). United Nations Sustainable Development Goals: Goal 2X\u2014Zero Hunger. Retrieved October 30, 2022, from https:\/\/www.un.org\/sustainabledevelopment\/hunger\/"},{"key":"10545_CR4","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.3389\/FPLS.2021.701038\/BIBTEX","volume":"12","author":"R Deng","year":"2021","unstructured":"Deng, R., Tao, M., Xing, H., Yang, X., Liu, C., Liao, K., & Qi, L. (2021). Automatic diagnosis of rice diseases using deep learning. Frontiers in Plant Science, 12, 1691. https:\/\/doi.org\/10.3389\/FPLS.2021.701038\/BIBTEX","journal-title":"Frontiers in Plant Science"},{"issue":"8","key":"10545_CR5","doi-asserted-by":"publisher","first-page":"451","DOI":"10.3390\/AGRONOMY9080451","volume":"9","author":"AE Asibi","year":"2019","unstructured":"Asibi, A. E., Chai, Q., & Coulter, J. A. (2019). Rice blast: A disease with implications for global food security. Agronomy, 9(8), 451. https:\/\/doi.org\/10.3390\/AGRONOMY9080451","journal-title":"Agronomy"},{"key":"10545_CR6","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/J.AIIA.2022.01.001","volume":"6","author":"J Xu","year":"2022","unstructured":"Xu, J., Gu, B., & Tian, G. (2022). Review of agricultural IoT technology. Artificial Intelligence in Agriculture, 6, 10\u201322. https:\/\/doi.org\/10.1016\/J.AIIA.2022.01.001","journal-title":"Artificial Intelligence in Agriculture"},{"key":"10545_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-020-07334-x","author":"K Lova Raju","year":"2020","unstructured":"Lova Raju, K., & Vijayaraghavan, V. (2020). IoT technologies in agricultural environment: A survey. Wireless Personal Communications. https:\/\/doi.org\/10.1007\/s11277-020-07334-x","journal-title":"Wireless Personal Communications"},{"key":"10545_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-021-08970-7","author":"A Srivastava","year":"2022","unstructured":"Srivastava, A., & Das, D. K. (2022). A comprehensive review on the application of internet of thing (IoT) in smart agriculture. Wireless Personal Communications. https:\/\/doi.org\/10.1007\/s11277-021-08970-7","journal-title":"Wireless Personal Communications"},{"issue":"03","key":"10545_CR9","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1109\/MITP.2020.2986121","volume":"22","author":"SY Liu","year":"2020","unstructured":"Liu, S. Y. (2020). Artificial intelligence (AI) in agriculture. IT Professional, 22(03), 14\u201315. https:\/\/doi.org\/10.1109\/MITP.2020.2986121","journal-title":"IT Professional"},{"key":"10545_CR10","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-981-15-1884-3_15\/COVER","volume":"1101","author":"JP Singh","year":"2020","unstructured":"Singh, J. P., Pradhan, C., & Das, S. C. (2020). Image processing and machine learning techniques to detect and classify paddy leaf diseases: A review. Advances in Intelligent Systems and Computing, 1101, 161\u2013172. https:\/\/doi.org\/10.1007\/978-981-15-1884-3_15\/COVER","journal-title":"Advances in Intelligent Systems and Computing"},{"issue":"2","key":"10545_CR11","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1007\/s11277-020-07901-2","volume":"117","author":"Q Peng","year":"2021","unstructured":"Peng, Q., & Xu, W. (2021). Crop nutrition and computer vision technology. Wireless Personal Communications, 117(2), 887\u2013899. https:\/\/doi.org\/10.1007\/s11277-020-07901-2","journal-title":"Wireless Personal Communications"},{"issue":"2","key":"10545_CR12","doi-asserted-by":"publisher","first-page":"1139","DOI":"10.1007\/s11277-021-09054-2","volume":"121","author":"N Ahmad","year":"2021","unstructured":"Ahmad, N., Asif, H. M. S., Saleem, G., Younus, M. U., Anwar, S., & Anjum, M. R. (2021). Leaf image-based plant disease identification using color and texture features. Wireless Personal Communications, 121(2), 1139\u20131168. https:\/\/doi.org\/10.1007\/s11277-021-09054-2","journal-title":"Wireless Personal Communications"},{"key":"10545_CR13","doi-asserted-by":"publisher","first-page":"31","DOI":"10.25081\/JP.2019.V11.5476","volume":"11","author":"S Ramesh","year":"2019","unstructured":"Ramesh, S., & Vydeki, D. (2019). Application of machine learning in detection of blast disease in South Indian rice crops. Journal of Phytology, 11, 31\u201337. https:\/\/doi.org\/10.25081\/JP.2019.V11.5476","journal-title":"Journal of Phytology"},{"key":"10545_CR14","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1016\/J.MATPR.2020.05.802","volume":"33","author":"R Sreevallabhadev","year":"2020","unstructured":"Sreevallabhadev, R. (2020). An improved machine learning algorithm for predicting blast disease in paddy crop. Materials Today: Proceedings, 33, 682\u2013686. https:\/\/doi.org\/10.1016\/J.MATPR.2020.05.802","journal-title":"Materials Today: Proceedings"},{"issue":"3","key":"10545_CR15","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1080\/03235408.2021.2015866","volume":"55","author":"M Sharma","year":"2021","unstructured":"Sharma, M., Kumar, C. J., & Deka, A. (2021). Early diagnosis of rice plant disease using machine learning techniques. Archives of Phytopathology and Plant Protection, 55(3), 259\u2013283. https:\/\/doi.org\/10.1080\/03235408.2021.2015866","journal-title":"Archives of Phytopathology and Plant Protection"},{"issue":"2","key":"10545_CR16","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/J.INPA.2019.09.002","volume":"7","author":"S Ramesh","year":"2020","unstructured":"Ramesh, S., & Vydeki, D. (2020). Recognition and classification of paddy leaf diseases using optimized deep neural network with Jaya algorithm. Information Processing in Agriculture, 7(2), 249\u2013260. https:\/\/doi.org\/10.1016\/J.INPA.2019.09.002","journal-title":"Information Processing in Agriculture"},{"issue":"1","key":"10545_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-38966-0","volume":"9","author":"WJ Liang","year":"2019","unstructured":"Liang, W. J., Zhang, H., Zhang, G. F., & Cao, H. X. (2019). Rice blast disease recognition using a deep convolutional neural network. Scientific Reports, 9(1), 1\u201310. https:\/\/doi.org\/10.1038\/s41598-019-38966-0","journal-title":"Scientific Reports"},{"issue":"2","key":"10545_CR18","doi-asserted-by":"publisher","first-page":"248","DOI":"10.14569\/IJACSA.2021.0120232","volume":"12","author":"R Kumar","year":"2021","unstructured":"Kumar, R., Baloch, G., Pankaj, P., Buriro, A. B., & Bhatti, J. (2021). Fungal blast disease detection in rice seed using machine learning. International Journal of Advanced Computer Science and Applications, 12(2), 248\u2013258. https:\/\/doi.org\/10.14569\/IJACSA.2021.0120232","journal-title":"International Journal of Advanced Computer Science and Applications"},{"issue":"4","key":"10545_CR19","doi-asserted-by":"publisher","first-page":"3661","DOI":"10.1007\/s11277-021-09308-z","volume":"123","author":"B Nagajayanthi","year":"2022","unstructured":"Nagajayanthi, B. (2022). Decades of internet of things towards twenty-first century: A research-based introspective. Wireless Personal Communications, 123(4), 3661\u20133697. https:\/\/doi.org\/10.1007\/s11277-021-09308-z","journal-title":"Wireless Personal Communications"},{"key":"10545_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-020-07446-4","author":"A Khanna","year":"2020","unstructured":"Khanna, A., & Kaur, S. (2020). Internet of Things (IoT), Applications and Challenges: A Comprehensive Review. Wireless Personal Communications. https:\/\/doi.org\/10.1007\/s11277-020-07446-4","journal-title":"Wireless Personal Communications"},{"issue":"3","key":"10545_CR21","doi-asserted-by":"publisher","first-page":"287","DOI":"10.3233\/AIS-170432","volume":"9","author":"D Preuveneers","year":"2017","unstructured":"Preuveneers, D., & Ilie-Zudor, E. (2017). The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0. Journal of Ambient Intelligence and Smart Environments, 9(3), 287\u2013298. https:\/\/doi.org\/10.3233\/AIS-170432","journal-title":"Journal of Ambient Intelligence and Smart Environments"},{"key":"10545_CR22","unstructured":"Pau, S., & Ashok, A. (2019). Plenoptic Imaging Apparatus, Method, and Applications. US. 20190197714."},{"key":"10545_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.09.002","author":"MKK Niazi","year":"2019","unstructured":"Niazi, M. K. K., Lin, Y., Liu, F., Ashok, A., Marcellin, M. W., Tozbikian, G., Gurcan, M. N., & Bilgin, A. (2019). Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer. Artificial Intelligence in Medicine. https:\/\/doi.org\/10.1016\/j.artmed.2018.09.002","journal-title":"Artificial Intelligence in Medicine"},{"key":"10545_CR24","doi-asserted-by":"publisher","unstructured":"Singh, A., & Singh, M. L. (2018). Automated blast disease detection from paddy plant leaf\u2014A color slicing approach. In 2018 7th international conference on industrial technology and management, ICITM 2018. https:\/\/doi.org\/10.1109\/ICITM.2018.8333972","DOI":"10.1109\/ICITM.2018.8333972"},{"key":"10545_CR25","volume-title":"Package of Practices for Kharif Crops of Punjab","author":"JS Kular","year":"2004","unstructured":"Kular, J. S. (2004). Package of Practices for Kharif Crops of Punjab. Ludhiana: PAU Ludhiana."},{"key":"10545_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/S0924-2716(98)00027-6","author":"Y Zhang","year":"1999","unstructured":"Zhang, Y. (1999). Optimisation of building detection in satellite images by combining multispectral classification and texture filtering. ISPRS Journal of Photogrammetry and Remote Sensing. https:\/\/doi.org\/10.1016\/S0924-2716(98)00027-6","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"10545_CR27","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1979.11328","author":"RM Haralick","year":"1979","unstructured":"Haralick, R. M. (1979). Statistical and structural approaches to texture. Proceedings of the IEEE. https:\/\/doi.org\/10.1109\/PROC.1979.11328","journal-title":"Proceedings of the IEEE"},{"key":"10545_CR28","doi-asserted-by":"publisher","DOI":"10.3390\/s17071474","author":"X Zhang","year":"2017","unstructured":"Zhang, X., Cui, J., Wang, W., & Lin, C. (2017). A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level co-occurrence matrix fusion algorithm. Sensors (Switzerland). https:\/\/doi.org\/10.3390\/s17071474","journal-title":"Sensors (Switzerland)"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-023-10545-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-023-10545-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-023-10545-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T15:29:35Z","timestamp":1690817375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-023-10545-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,9]]},"references-count":28,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["10545"],"URL":"https:\/\/doi.org\/10.1007\/s11277-023-10545-7","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,9]]},"assertion":[{"value":"28 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors of this paper declare that they have no conflict of interest with any person or organization in carrying out this research work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}