A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Feng Wang & Jun Xue & Ruizhi Xie & Bo Ming & Keru Wang & Peng Hou & Lizhen Zhang & Shaokun Li, 2022. "Assessing Growth and Water Productivity for Drip-Irrigated Maize under High Plant Density in Arid to Semi-Humid Climates," Agriculture, MDPI, vol. 12(1), pages 1-16, January.
- Sandhu, Rupinder & Irmak, Suat, 2019. "Performance of AquaCrop model in simulating maize growth, yield, and evapotranspiration under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
- Kanwalpreet Kour & Deepali Gupta & Junaid Rashid & Kamali Gupta & Jungeun Kim & Keejun Han & Khalid Mohiuddin, 2023. "Smart Framework for Quality Check and Determination of Adulterants in Saffron Using Sensors and AquaCrop," Agriculture, MDPI, vol. 13(4), pages 1-21, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zhu, Hongyan & Zheng, Bingyan & Nie, Weibo & Fei, Liangjun & Shan, Yuyang & Li, Ge & Liang, Fei, 2024. "Optimization of maize irrigation strategy in Xinjiang, China by AquaCrop based on a four-year study," Agricultural Water Management, Elsevier, vol. 297(C).
- Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
- Kelly, T.D. & Foster, T. & Schultz, David M., 2023. "Assessing the value of adapting irrigation strategies within the season," Agricultural Water Management, Elsevier, vol. 275(C).
- Tsakmakis, I.D. & Gikas, G.D. & Sylaios, G.K., 2021. "Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize," Agricultural Water Management, Elsevier, vol. 255(C).
- Lu, Yang & Chibarabada, Tendai P. & Ziliani, Matteo G. & Onema, Jean-Marie Kileshye & McCabe, Matthew F. & Sheffield, Justin, 2021. "Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model," Agricultural Water Management, Elsevier, vol. 252(C).
- Lu, Yang & Wei, Chunzhu & McCabe, Matthew F. & Sheffield, Justin, 2022. "Multi-variable assimilation into a modified AquaCrop model for improved maize simulation without management or crop phenology information," Agricultural Water Management, Elsevier, vol. 266(C).
- Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
- Haoteng Zhao & Liping Di & Liying Guo & Chen Zhang & Li Lin, 2023. "An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
- Sandhu, Rupinder & Irmak, Suat, 2020. "Performance assessment of Hybrid-Maize model for rainfed, limited and full irrigation conditions," Agricultural Water Management, Elsevier, vol. 242(C).
- Sandhu, Rupinder & Irmak, Suat, 2019. "Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed cond," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
- Shih-Lun Fang & Ting-Jung Chang & Yuan-Kai Tu & Han-Wei Chen & Min-Hwi Yao & Bo-Jein Kuo, 2022. "Plant-Response-Based Control Strategy for Irrigation and Environmental Controls for Greenhouse Tomato Seedling Cultivation," Agriculture, MDPI, vol. 12(5), pages 1-17, April.
- Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
- Dhouib, M. & Zitouna-Chebbi, R. & Prévot, L. & Molénat, J. & Mekki, I. & Jacob, F., 2022. "Multicriteria evaluation of the AquaCrop crop model in a hilly rainfed Mediterranean agrosystem," Agricultural Water Management, Elsevier, vol. 273(C).
- Zhang, Jili & Wang, Peng & Long, Huaiyu & Su, Shanshan & Wu, Yige & Wang, Hongrong, 2022. "Metabolomics analysis reveals the physiological mechanism underlying growth restriction in maize roots under continuous negative pressure and stable water supply," Agricultural Water Management, Elsevier, vol. 263(C).
- Huaijun Tang & Xiaoqing Xie & Lei Zhang & Cheng Liu, 2024. "Assessing the Influence of Planting Dates on Sustainable Maize Production under Drought Stress Conditions," Sustainability, MDPI, vol. 16(11), pages 1-35, May.
- Chengkun Wang & Nannan Zhang & Mingzhe Li & Li Li & Tiecheng Bai, 2022. "Pear Tree Growth Simulation and Soil Moisture Assessment Considering Pruning," Agriculture, MDPI, vol. 12(10), pages 1-26, October.
- Pinheiro, Antonio Gebson & Alves, Cleber Pereira & Souza, Carlos André Alves de & Araújo Júnior, George do Nascimento & Jardim, Alexandre Maniçoba da Rosa Ferraz & Morais, José Edson Florentino de & S, 2024. "Calibration and validation of the AquaCrop model for production arrangements of forage cactus and grass in a semi-arid environment," Ecological Modelling, Elsevier, vol. 488(C).
- Irmak, S. & Sandhu, R. & Kukal, M.S., 2022. "Multi-model projections of trade-offs between irrigated and rainfed maize yields under changing climate and future emission scenarios," Agricultural Water Management, Elsevier, vol. 261(C).
More about this item
Keywords
precision agriculture; artificial intelligence; long short-term memory; predictive control; deep learning; moisture content; water management; time series analysis;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:2:p:210-:d:1328191. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.