{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T04:03:25Z","timestamp":1768536205708,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T00:00:00Z","timestamp":1679443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T00:00:00Z","timestamp":1679443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3,22]]},"DOI":"10.1109\/ciss56502.2023.10089748","type":"proceedings-article","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T14:58:36Z","timestamp":1681138716000},"page":"1-4","source":"Crossref","is-referenced-by-count":4,"title":["A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops"],"prefix":"10.1109","author":[{"given":"Krishna Chaitanya","family":"Gadepally","sequence":"first","affiliation":[{"name":"Texas A&#x0026;M University,Department of Electrical and Computer Engineering,College Station,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sambandh Bhusan","family":"Dhal","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,Department of Electrical and Computer Engineering,College Station,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahendra","family":"Bhandari","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M AgriLife and Extension Center,Corpus Christi,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Landivar","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M AgriLife and Extension Center,Corpus Christi,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stavros","family":"Kalafatis","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,Department of Electrical and Computer Engineering,College Station,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Nowka","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University,Department of Electrical and Computer Engineering,College Station,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105612"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3417473.3417481"},{"key":"ref15","author":"murugesan","year":"2021","journal-title":"Deep Learning Based Models Basic LSTM Bi LSTM Stacked LSTM CNN LSTM and Conv LSTM to Forecast Agricultural Commodities Prices"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105709"},{"key":"ref11","article-title":"Machine Learning Based Models to Forecast in-Season Cotton Growth","author":"dhal","year":"0","journal-title":"ASA CSSA SSSA International Annual Meeting ASA-CSSA-SSSA"},{"key":"ref10","article-title":"Predicting county level corn yields using deep long short term memory models","author":"jiang","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eja.2006.12.001"},{"key":"ref1","first-page":"1","author":"meyer","year":"2022","journal-title":"Cotton and wool outlook May 2022 USDA Economic Research Service Publication CWS-22e"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.compind.2019.02.003","article-title":"Deep neural networks with transfer learning in millet crop images","volume":"108","author":"solemane","year":"2019","journal-title":"Computers in Industry"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"105393","DOI":"10.1016\/j.compag.2020.105393","article-title":"Using deep transfer learning for image-based plant disease identification","volume":"173","author":"junde","year":"2020","journal-title":"Computers and Electronics in Agriculture"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3209811.3212707"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2016.04.010"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.compag.2017.07.008","article-title":"Crop height monitoring with digital imagery from Unmanned Aerial System (UAS)","volume":"141","author":"anjin","year":"2017","journal-title":"Computers and Electronics in Agriculture"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/app112411820"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105942"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.agsy.2020.103046"},{"key":"ref6","first-page":"4631","article-title":"Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble","volume":"38 16","author":"jeferson","year":"2017","journal-title":"International Journal of Remote Sensing"},{"key":"ref5","first-page":"1","article-title":"Artificial neural networks for corn and soybean yield prediction","volume":"85 1","author":"monisha","year":"2005","journal-title":"Agricultural Systems"}],"event":{"name":"2023 57th Annual Conference on Information Sciences and Systems (CISS)","location":"Baltimore, MD, USA","start":{"date-parts":[[2023,3,22]]},"end":{"date-parts":[[2023,3,24]]}},"container-title":["2023 57th Annual Conference on Information Sciences and Systems (CISS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10089615\/10089616\/10089748.pdf?arnumber=10089748","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T14:20:29Z","timestamp":1682950829000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10089748\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,22]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/ciss56502.2023.10089748","relation":{},"subject":[],"published":{"date-parts":[[2023,3,22]]}}}