Deep learning based prediction on greenhouse crop yield combined TCN and RNN

Gong, LiyunYu, MiaoJiang, ShouyongCutsuridis, VassilisPearson, Simon2021-11-182021-11-182021-07-01Gong, L, Yu, M, Jiang, S, Cutsuridis, V & Pearson, S 2021, 'Deep learning based prediction on greenhouse crop yield combined TCN and RNN', Sensors, vol. 21, no. 13, 4537. https://doi.org/10.3390/s211345371424-8220https://hdl.handle.net/2164/17518Funding: This research was supported as part of SMARTGREEN, an Interreg project supported by the North Sea Programme of the European Regional Development Fund of the European Union.161184644engCrop yield predictionDeep learningGreenhouseRecurrent neural network (RNN)Temporal convolutional network (TCN)QA75 Electronic computers. Computer scienceAnalytical ChemistryInformation SystemsAtomic and Molecular Physics, and OpticsBiochemistryInstrumentationElectrical and Electronic EngineeringEuropean CommissionQA75Deep learning based prediction on greenhouse crop yield combined TCN and RNNJournal article10.3390/s21134537http://www.scopus.com/inward/record.url?scp=85108866960&partnerID=8YFLogxK2113