{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:17:53Z","timestamp":1743139073953,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819967018"},{"type":"electronic","value":"9789819967025"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-6702-5_19","type":"book-chapter","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T18:02:42Z","timestamp":1700503362000},"page":"235-246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Agriculture Land Image Classification Using Machine Learning Algorithms and Deep Learning Techniques"],"prefix":"10.1007","author":[{"given":"Yarlagadda Mohana","family":"Bharghavi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. S.","family":"Pavan Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yenduri Harshitha","family":"Lakshmi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuncham Pushpa","family":"Sri Vyshnavi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,21]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Helber, P., Bischke, B., Dengel, A., Borth, D.: EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification. IEEE J. Selected Topics Appl. Earth Observations Remote Sens. (2019)","DOI":"10.1109\/JSTARS.2019.2918242"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Li, J., Lin, D., Wang, Y., Xu, G., Zhang, Y., Ding, C., Zhou, Y.: Deep discriminative representation learning with attention map for scene classification. In: Remote Sensing (MDIP) (2020)","DOI":"10.3390\/rs12091366"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Oo, T. K., Arunrat, N., Sereenonchai, S., Ussawarujikulchai, A., Chareonwong, U., Nutmagul, W.: Comparing four machine learning algorithms for land cover classification in gold mining: a case study of Kyaukpahto Gold Mine, Northern Myanmar. In: Sustainability (MDIP) (2022)","DOI":"10.3390\/su141710754"},{"key":"19_CR4","unstructured":"Yassine, H., Tout, K., Jaber, M.: Improving lulc classification from satellite imagery using deep learning\u2014eurosat dataset. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2021)"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Naushad, R., Kaur, T., Ebrahim, G.: Deep transfer learning for land use and land cover classification: a comparative study. In: Sensors (2021)","DOI":"10.3390\/s21238083"},{"key":"19_CR6","unstructured":"Asawa, T.S., Balaji, V., Helwatkar, T.: Deep ensemble learning for agricultural land mapping and classification from satellite images. Int. J. Eng. Res. Technol. (2021)"},{"key":"19_CR7","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1016\/j.rse.2017.11.026","volume":"205","author":"R Goldblatt","year":"2018","unstructured":"Goldblatt, R., Stuhlmacher, M.F., Tellman, B., Clinton, N., Hanson, G., Georgescu, M., Wang, C., Serrano- Candela, F., Khandelwal, A.K., Cheng, W.H., Balling, R.C.: Using Eurosat and nighttime lights for supervised pixel-based image classification of urban land cover. Remote Sens. Environ. 205, 253\u2013275 (2018)","journal-title":"Remote Sens. Environ."},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Samaniego, L., Schulz, K.: Supervised Classification of Agricultural Land Cover Using a Modified k-NN Technique (MNN) and Landsat Remote Sensing Imagery (2009)","DOI":"10.3390\/rs1040875"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Gharbia, R., Hassanien, A.E., El-Baz, A.H., Elhoseny, M., Gunasekaran, M.: Multi-spectral and panchromatic image fusion approach using stationary wavelet transform and swarm flower pollination optimization for remote sensing applications. In: Future Generation Computer Systems (2018)","DOI":"10.1016\/j.future.2018.06.022"},{"key":"19_CR10","first-page":"199","volume":"35","author":"NN Patel","year":"2015","unstructured":"Patel, N.N., Angiuli, E., Gamba, P., Gaughan, A., Lisini, G., Stevens, F.R., Tatem, A.J., Trianni, G.: Multitemporal settlement and population mapping from Eurosat using Google Earth Engine. Int. J. Appl. Earth Obs. Geoinf. 35, 199\u2013208 (2015)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Pelletier, C., Webb, G. I., Petitjean, F.: Deep Learning for the Classification of Sentinel-2 Image Time Series (2019)","DOI":"10.1109\/IGARSS.2019.8900123"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Gharbia, R., El-Baz, A.H., Hassanien, A.E.: An adaptive image fusion rule for remote sensing images based on the particle swarm optimization. In: 2016 International Conference on Computing, Communication, and Automation (ICCCA), pp. 1080\u20131085. IEEE (2016)","DOI":"10.1109\/CCAA.2016.7813903"},{"key":"19_CR13","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.isprsjprs.2014.08.004","volume":"103","author":"Y Ban","year":"2015","unstructured":"Ban, Y., Jacob, A., Gamba, P.: Spaceborne SAR data for global urban mapping at 30 m resolution using a robust urban extractor. ISPRS J. Photogramm. Remote Sens. 103, 28\u201337 (2015)","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Ndikumana, E., Minh, D.H.T., Baghdadi, N., Courault, D., Hossard, L.: Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France (2018)","DOI":"10.3390\/rs10081217"},{"issue":"1","key":"19_CR15","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1080\/00045600802459028","volume":"99","author":"SS Wu","year":"2009","unstructured":"Wu, S.S., Qiu, X., Usery, E.L., Wang, L.: Using geometrical, textural, and contextual information of land parcels for the classification of detailed urban land use. Ann. Assoc. Am. Geogr. 99(1), 76\u201398 (2009)","journal-title":"Ann. Assoc. Am. Geogr."},{"key":"19_CR16","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber, J.: Deep learning in neural networks: an overview. Neural Netw. 61, 85\u2013117 (2015)","journal-title":"Neural Netw."},{"key":"19_CR17","unstructured":"Vibhute, A.D., Gawali, B.W.: Analysis and Modeling of Agricultural Land use using Remote Sensing and Geographic Information System (2013)"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Khalifa, N.E.M., Taha, M.H.N., Hassanien, A.E.: Aquarium family fish species identification system using deep neural networks. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 347\u2013356. Springer, Cham (2018)","DOI":"10.1007\/978-3-319-99010-1_32"},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"Wong, S.C., Gatt, A., Stamatescu, V., McDonnell, M.D.: Understanding Data Augmentation for Classification: When to Warp? (2016).arXiv preprint arXiv:1609.08764","DOI":"10.1109\/DICTA.2016.7797091"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Pavan Kumar, C.S., Dhinesh Babu, L.D.: Novel text preprocessing framework for sentiment analysis. In: Satapathy, S., Bhateja, V., Das, S. (eds.) Smart Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol. 105. Springer (2019)","DOI":"10.1007\/978-981-13-1927-3_33"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Pavan Kumar, C.S., Dhinesh Babu, L.D.: Fuzzy Based Feature Engineering Architecture for Sentiment Analysis of Medical Discussion over Online Social Networks, pp. 11749\u201311761 (2021)","DOI":"10.3233\/JIFS-202874"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Varun, P.S., Manohar, G.L., Kumar, T.S., Pavan Kumar, C.S.: Novel sentiment analysis model with modern bio-NLP techniques over chronic diseases. In: Satapathy, S.C., Peer, P., Tang, J., Bhateja, V., Ghosh, A. (eds.) Intelligent Data Engineering and Analytics. Smart Innovation, Systems and Technologies, vol. 266. Springer (2022)","DOI":"10.1007\/978-981-16-6624-7_48"},{"key":"19_CR23","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/s12065-020-00366-z","volume":"14","author":"CSP Kumar","year":"2021","unstructured":"Kumar, C.S.P., Babu, L.D.D.: Evolving dictionary based sentiment scoring framework for patient authored text. Evol. Intel. 14, 657\u2013667 (2021)","journal-title":"Evol. Intel."},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Agarwal, R., Jain, R., Regunathan, R., Pavan Kumar, C.S.: Automatic attendance system using face recognition technique. In: Kulkarni, A., Satapathy, S., Kang, T., Kashan, A. (eds.) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol. 828 (2019)","DOI":"10.1007\/978-981-13-1610-4_53"}],"container-title":["Smart Innovation, Systems and Technologies","Evolution in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-6702-5_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T06:08:15Z","timestamp":1728454095000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-6702-5_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819967018","9789819967025"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-6702-5_19","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FICTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Frontiers of Intelligent Computing: Theory and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cardiff","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ficta2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ficta.co.uk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}