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Research Article

Prediction of reference evapotranspiration for irrigation scheduling using machine learning

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Pages 2669-2677 | Received 06 Feb 2020, Accepted 15 Jul 2020, Published online: 06 Nov 2020

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Hamidreza Vosoughifar, Helaleh Khoshkam, Sayed M. Bateni, Changhyun Jun, Tongren Xu, Shahab S. Band & Christopher M. U. Neale. (2023) Estimation of daily reference evapotranspiration from limited climatic variables in coastal regions. Hydrological Sciences Journal 68:1, pages 91-107.
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Articles from other publishers (15)

Xin Zheng, Sha Zhang, Jiahua Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng & Yun Bai. (2024) Prediction of Large-Scale Regional Evapotranspiration Based on Multi-Scale Feature Extraction and Multi-Headed Self-Attention. Remote Sensing 16:7, pages 1235.
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Shivendra Srivastava, Nishant Kumar, Arindam Malakar, Sruti Das Choudhury, Chittaranjan Ray & Tirthankar Roy. (2024) A Machine Learning-Based Probabilistic Approach for Irrigation Scheduling. Water Resources Management 38:5, pages 1639-1653.
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Shaloo, Bipin Kumar, Himani Bisht, Jitendra Rajput, Anil Kumar Mishra, Kiran Kumara TM & Pothula Srinivasa Brahmanand. (2023) Reference evapotranspiration prediction using machine learning models: An empirical study from minimal climate data. Agronomy Journal.
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Bamory Ahmed Toru Koné, Rima Grati, Bassem Bouaziz & Khouloud Boukadi. (2023) Computerized Irrigation Scheduling. Computerized Irrigation Scheduling.
Hadeed Ashraf, Saliha Qamar, Nadia Riaz, Redmond R. Shamshiri, Muhammad Sultan, Bareerah Khalid, Sobhy M. Ibrahim, Muhammad Imran & Muhammad Usman Khan. (2023) Spatiotemporal Estimation of Reference Evapotranspiration for Agricultural Applications in Punjab, Pakistan. Agriculture 13:7, pages 1388.
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Zihao Zheng, Mumtaz Ali, Mehdi Jamei, Yong Xiang, Masoud Karbasi, Zaher Mundher Yaseen & Aitazaz Ahsan Farooque. (2023) Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach. Engineering Applications of Artificial Intelligence 121, pages 105984.
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Syed Asif Ali. 2023. Smart Village Infrastructure and Sustainable Rural Communities. Smart Village Infrastructure and Sustainable Rural Communities 119 133 .
Manuele Bettelli, Filippo Vurro, Riccardo Pecori, Michela Janni, Nicola Coppedè, Andrea Zappettini & Daniele Tessera. (2023) Classification and Forecasting of Water Stress in Tomato Plants Using Bioristor Data. IEEE Access 11, pages 34795-34807.
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Sowmya Mangalath Ravindran, Santosh Kumar Moorakkal Bhaskaran, Sooraj K. Ambat, Kannan Balakrishnan & Manoj Manguttathil Gopalakrishnan. (2022) An automated machine learning methodology for the improved prediction of reference evapotranspiration using minimal input parameters. Hydrological Processes 36:5.
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Aitazaz Ahsan Farooque, Hassan Afzaal, Farhat Abbas, Melanie Bos, Junaid Maqsood, Xander Wang & Nazar Hussain. (2021) Forecasting daily evapotranspiration using artificial neural networks for sustainable irrigation scheduling. Irrigation Science 40:1, pages 55-69.
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Atslands Rego da Rocha, Igor Leão dos Santos, Letícia Ali Figueiredo Ferreira & Augusto da Cunha Reis. 2022. Handbook of Smart Materials, Technologies, and Devices. Handbook of Smart Materials, Technologies, and Devices 519 558 .
Pradeep Hebbalaguppae Krishnashetty, Jasma Balasangameshwara, Sheshshayee Sreeman, Sujeet Desai & Archana Bengaluru Kantharaju. (2021) Cognitive computing models for estimation of reference evapotranspiration: A review. Cognitive Systems Research 70, pages 109-116.
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Sowmya Mangalath Ravindran, Santosh Kumar Moorakkal Bhaskaran & Sooraj Krishnan Nair Ambat. (2021) A Deep Neural Network Architecture to Model Reference Evapotranspiration Using a Single Input Meteorological Parameter. Environmental Processes 8:4, pages 1567-1599.
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Ozgur Kisi, Behrooz Keshtegar, Mohammad Zounemat-Kermani, Salim Heddam & Nguyen-Thoi Trung. (2021) Modeling reference evapotranspiration using a novel regression-based method: radial basis M5 model tree. Theoretical and Applied Climatology 145:1-2, pages 639-659.
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Dilip Kumar Roy. (2021) Long Short-Term Memory Networks to Predict One-Step Ahead Reference Evapotranspiration in a Subtropical Climatic Zone. Environmental Processes 8:2, pages 911-941.
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