Optimization of kiwifruit irrigation strategies using multi-objective optimization algorithms coupled with water production functions
•A modelling and optimization framework was developed to optimize kiwifruit irrigation strategies.•Crop responses were accurately simulated using Jensen model for yield and Q-Rao model for fruit quality.•MOPSO produced optimal water allocation plans with low computational cost.•Optimized evapotransp...
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| Published in: | Computers and electronics in agriculture Vol. 237; p. 110579 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.10.2025
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| ISSN: | 0168-1699 |
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| Abstract | •A modelling and optimization framework was developed to optimize kiwifruit irrigation strategies.•Crop responses were accurately simulated using Jensen model for yield and Q-Rao model for fruit quality.•MOPSO produced optimal water allocation plans with low computational cost.•Optimized evapotranspiration ratios were 0.53, 1.00, 1.00, 0.90 under sufficient water supply.•The optimized strategy reduced yield by 7.2 % but improved WP and quality by 2.2 % and 9.1 %.
Efficient irrigation strategies are crucial for improving crop yield, fruit quality, and water productivity (WP), particularly under water scarcity conditions. This study developed dated crop water production functions (DCWPF) to simulate kiwifruit yield and quality responses under deficit irrigation, and integrated them with multi-objective optimization (MOO) algorithms to identify optimal irrigation strategies under varying total available water (TAW) conditions. The Jensen model exhibited robust performance in simulating yield, while the Q-Rao model effectively captured the nonlinear response of fruit quality to water stress. Water deficit sensitivity indexes revealed that fruit expansion stage (III) was the most critical for yield, while moderate deficit during fruit maturation stage (IV) could improve quality traits. The multi-objective particle swarm optimization (MOPSO) exhibited superior performance in both computational efficiency and solution quality, highlighting its suitability for optimizing kiwifruit irrigation strategies. Under adequate TAW condition, the optimal relative evapotranspiration allocations across the four growth stages of kiwifruit were 0.53, 1.00, 1.00, and 0.90. At this strategy, a 7.2 % reduction in yield was traded off for a 9.1 % improvement in fruit quality and a 2.2 % enhancement in WP. Under limited TAW, the recommended strategies prioritized irrigation during stages III and II (flowering to fruit set stage). The findings not only provide theoretical support for irrigation water management in kiwifruit cultivation, but also demonstrate the effectiveness of coupling DCWPF with MOO algorithms for optimizing irrigation strategies, offering valuable insights into the application of multi-objective optimization in agriculture practices. |
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| AbstractList | •A modelling and optimization framework was developed to optimize kiwifruit irrigation strategies.•Crop responses were accurately simulated using Jensen model for yield and Q-Rao model for fruit quality.•MOPSO produced optimal water allocation plans with low computational cost.•Optimized evapotranspiration ratios were 0.53, 1.00, 1.00, 0.90 under sufficient water supply.•The optimized strategy reduced yield by 7.2 % but improved WP and quality by 2.2 % and 9.1 %.
Efficient irrigation strategies are crucial for improving crop yield, fruit quality, and water productivity (WP), particularly under water scarcity conditions. This study developed dated crop water production functions (DCWPF) to simulate kiwifruit yield and quality responses under deficit irrigation, and integrated them with multi-objective optimization (MOO) algorithms to identify optimal irrigation strategies under varying total available water (TAW) conditions. The Jensen model exhibited robust performance in simulating yield, while the Q-Rao model effectively captured the nonlinear response of fruit quality to water stress. Water deficit sensitivity indexes revealed that fruit expansion stage (III) was the most critical for yield, while moderate deficit during fruit maturation stage (IV) could improve quality traits. The multi-objective particle swarm optimization (MOPSO) exhibited superior performance in both computational efficiency and solution quality, highlighting its suitability for optimizing kiwifruit irrigation strategies. Under adequate TAW condition, the optimal relative evapotranspiration allocations across the four growth stages of kiwifruit were 0.53, 1.00, 1.00, and 0.90. At this strategy, a 7.2 % reduction in yield was traded off for a 9.1 % improvement in fruit quality and a 2.2 % enhancement in WP. Under limited TAW, the recommended strategies prioritized irrigation during stages III and II (flowering to fruit set stage). The findings not only provide theoretical support for irrigation water management in kiwifruit cultivation, but also demonstrate the effectiveness of coupling DCWPF with MOO algorithms for optimizing irrigation strategies, offering valuable insights into the application of multi-objective optimization in agriculture practices. |
| ArticleNumber | 110579 |
| Author | Wang, Zhihui Cui, Ningbo Chen, Fei Jiang, Shouzheng Liu, Quanshan Zheng, Shunsheng Gong, Daozhi |
| Author_xml | – sequence: 1 givenname: Shunsheng surname: Zheng fullname: Zheng, Shunsheng organization: State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China – sequence: 2 givenname: Ningbo surname: Cui fullname: Cui, Ningbo email: cuiningbo@126.com organization: State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China – sequence: 3 givenname: Daozhi surname: Gong fullname: Gong, Daozhi organization: Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China – sequence: 4 givenname: Zhihui surname: Wang fullname: Wang, Zhihui organization: State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China – sequence: 5 givenname: Fei surname: Chen fullname: Chen, Fei organization: State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China – sequence: 6 givenname: Quanshan surname: Liu fullname: Liu, Quanshan organization: State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China – sequence: 7 givenname: Shouzheng surname: Jiang fullname: Jiang, Shouzheng email: shouzhengjiang@sina.com organization: State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China |
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| Keywords | Water deficit sensitivity index Multi-objective optimization Deficit irrigation Precision irrigation Jensen model Water allocation strategy |
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| References | Chai, Gan, Zhao, Xu, Waskom, Niu, Siddique (b0015) 2016; 36 Deb, Jain (b0035) 2014; 18 Du, Kang, Zhang, Davies (b0045) 2015; 66 Blank (b0010) 1975 Mirjalili, Saremi, Mirjalili, Coelho (b0105) 2016; 47 Stewart, J.I., Hagan, R.M., Pruitt, W.O., 1976. Water production functions and predicted irrigation programs for principal crops as required for water resources planning and increased water use efficiency.PB-US National Technical Information Service (USA). 258051. Coello, Lechuga (b0030) 2002 Liu, Yang, Li (b0090) 2020; 145 Li, Yang, Liu (b0085) 2013; 18 Wu, Tian, Zhang, Piao, Zeng, Zhu, Liu, Elnashar, Lu (b0150) 2022; 358 Zheng, Jiang, Cui, Zhao, Gong, Wang, Wu, Liu (b0165) 2023; 289 Wu, Xu, Shi, Zhang, Wang, Xue, Zuo (b0155) 2022; 38 Pérez-Pérez, Robles, Botía (b0110) 2014; 133 Galindo, Collado-González, Griñán, Corell, Centeno, Martín-Palomo, Girón, Rodríguez, Cruz, Memmi, Carbonell-BarraChina, Hernández, Torrecillas, Moriana, Pérez-López (b0050) 2018; 202 Jiang, Liu, Guan, Wang, Wang, Zhao, Song, Zhao, Bi (b0070) 2021; 70 Chen, Kang, Du, Guo, Qiu, Chen, Gu (b0025) 2014; 146 Schott, J.R., 1995. Fault tolerant design using single and multicriteria genetic algorithm optimization. Jensen (b0060) 1968 Wang, Jin, Yao (b0145) 2017; 47 Zhao, Li, Li, Luo, Bai (b0160) 2024; 16 Zitzler, Laumanns, Thiele (b0180) 2001 Jiang, Zhao, Wang, Zhao (b0075) 2019; 54 Sharma, Kumar (b0130) 2022; 29 Lyu, Jiang, Xu, Liu, Su, Liu, He (b0095) 2022; 843 Kundu, Suresh, Ghosh, Das, Panigrahi, Das (b0080) 2011; 181 Jiang, Liang, Zhao, Gong, Huang, Xing, Zhu, Feng, Guo, Cui (b0065) 2022; 610 Chen, Cui, Jiang, Wang, Li, Lv, Wang, Gong, Zhao (b0020) 2023; 287 Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration (Guidelines for computing crop water requirements). Rome, Italy. Singh, Wolkewitz, Kumar (b0135) 1987; 8 Rajan, Natraj, Kim, Lee, Jang, Lee, Kim (b0115) 2024; 13 Minhas, Parkhand, Srinivasan (b0100) 1974; 10 Deb, Pratap, Agarwal, Meyarivan (b0040) 2002; 6 Zhou, Chen, Wang, Li, Génard, Kang (b0170) 2020; 241 Zitzler, Laumanns, Bleuler (b0175) 2004 Rao, Sarma, Chander (b0120) 1988; 13 Ishibuchi, Imada, Setoguchi, Nojima (b0055) 2016 Verma, Pant, Snasel (b0140) 2021; 9 Jiang (10.1016/j.compag.2025.110579_b0065) 2022; 610 Singh (10.1016/j.compag.2025.110579_b0135) 1987; 8 Ishibuchi (10.1016/j.compag.2025.110579_b0055) 2016 Zitzler (10.1016/j.compag.2025.110579_b0180) 2001 Wang (10.1016/j.compag.2025.110579_b0145) 2017; 47 10.1016/j.compag.2025.110579_b0125 10.1016/j.compag.2025.110579_b0005 Coello (10.1016/j.compag.2025.110579_b0030) 2002 Wu (10.1016/j.compag.2025.110579_b0155) 2022; 38 Zhou (10.1016/j.compag.2025.110579_b0170) 2020; 241 Chai (10.1016/j.compag.2025.110579_b0015) 2016; 36 Lyu (10.1016/j.compag.2025.110579_b0095) 2022; 843 Chen (10.1016/j.compag.2025.110579_b0025) 2014; 146 Jiang (10.1016/j.compag.2025.110579_b0075) 2019; 54 Du (10.1016/j.compag.2025.110579_b0045) 2015; 66 Galindo (10.1016/j.compag.2025.110579_b0050) 2018; 202 Zhao (10.1016/j.compag.2025.110579_b0160) 2024; 16 Chen (10.1016/j.compag.2025.110579_b0020) 2023; 287 Pérez-Pérez (10.1016/j.compag.2025.110579_b0110) 2014; 133 Wu (10.1016/j.compag.2025.110579_b0150) 2022; 358 Jensen (10.1016/j.compag.2025.110579_b0060) 1968 Kundu (10.1016/j.compag.2025.110579_b0080) 2011; 181 Mirjalili (10.1016/j.compag.2025.110579_b0105) 2016; 47 Jiang (10.1016/j.compag.2025.110579_b0070) 2021; 70 Deb (10.1016/j.compag.2025.110579_b0035) 2014; 18 Liu (10.1016/j.compag.2025.110579_b0090) 2020; 145 Deb (10.1016/j.compag.2025.110579_b0040) 2002; 6 Zheng (10.1016/j.compag.2025.110579_b0165) 2023; 289 Li (10.1016/j.compag.2025.110579_b0085) 2013; 18 10.1016/j.compag.2025.110579_b0183 Verma (10.1016/j.compag.2025.110579_b0140) 2021; 9 Minhas (10.1016/j.compag.2025.110579_b0100) 1974; 10 Rao (10.1016/j.compag.2025.110579_b0120) 1988; 13 Sharma (10.1016/j.compag.2025.110579_b0130) 2022; 29 Blank (10.1016/j.compag.2025.110579_b0010) 1975 Rajan (10.1016/j.compag.2025.110579_b0115) 2024; 13 Zitzler (10.1016/j.compag.2025.110579_b0175) 2004 |
| References_xml | – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b0040 article-title: A fast and elitist multiobjective genetic algorithm: nsga-ii publication-title: Ieee Trans. Evol. Comput. – volume: 29 start-page: 5605 year: 2022 end-page: 5633 ident: b0130 article-title: A comprehensive review on multi-objective optimization techniques: past, present and future publication-title: Arch. Comput. Method Eng. – volume: 47 start-page: 1510 year: 2017 end-page: 1522 ident: b0145 article-title: Diversity assessment in many-objective optimization publication-title: Ieee t. Cybern. – reference: Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop evapotranspiration (Guidelines for computing crop water requirements). Rome, Italy. – volume: 16 start-page: 2545 year: 2024 ident: b0160 article-title: A review on the optimization of irrigation schedules for farmlands based on a simulation–optimization model publication-title: Water. – year: 1975 ident: b0010 article-title: Optimal irrigation decisions with limited water publication-title: Ph.d. Thesis. Department of Civil Engineering – year: 2002 ident: b0030 article-title: MOPSO: a proposal for multiple objective particle swarm optimization publication-title: Wcci. – volume: 146 start-page: 131 year: 2014 end-page: 148 ident: b0025 article-title: Modeling relations of tomato yield and fruit quality with water deficit at different growth stages under greenhouse condition publication-title: Agric. Water Manag. – volume: 13 year: 2024 ident: b0115 article-title: Climate change impacts on and response strategies for kiwifruit production: a comprehensive review publication-title: Plants – volume: 287 year: 2023 ident: b0020 article-title: Multi-objective deficit drip irrigation optimization of citrus yield, fruit quality and water use efficiency using nsga-ii in seasonal arid area of southwest China publication-title: Agric. Water Manag. – year: 2001 ident: b0180 article-title: Spea2: improving the strength pareto evolutionary algorithm publication-title: Tech. Rep. Gloriastrasse – volume: 8 start-page: 273 year: 1987 end-page: 290 ident: b0135 article-title: Comparative performance of different crop production functions for wheat (triticum aestivum l.) publication-title: Irrig. Sci. – volume: 18 start-page: 577 year: 2014 end-page: 601 ident: b0035 article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints publication-title: Ieee Trans. Evol. Comput. – volume: 610 year: 2022 ident: b0065 article-title: Energy and evapotranspiration partitioning over a humid region orchard: field measurements and partitioning model comparisons publication-title: J. Hydrol. – volume: 843 year: 2022 ident: b0095 article-title: Multi-objective winter wheat irrigation strategies optimization based on coupling aquacrop-ospy and NSGA-III: a case study in yangling, china publication-title: Sci. Total Environ. – volume: 133 start-page: 44 year: 2014 end-page: 54 ident: b0110 article-title: Effects of deficit irrigation in different fruit growth stages on 'star ruby' grapefruit trees in semi-arid conditions publication-title: Agric. Water Manag. – volume: 18 start-page: 348 year: 2013 end-page: 365 ident: b0085 article-title: Shift-based density estimation for Pareto-based algorithms in many-objective optimization publication-title: Ieee Trans. Evol. Comput. – volume: 47 start-page: 106 year: 2016 end-page: 119 ident: b0105 article-title: Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization publication-title: Expert Syst. Appl. – volume: 54 start-page: 1492 year: 2019 end-page: 1500 ident: b0075 article-title: Modeling the relationship of tomato yield parameters with deficit irrigation at different growth stages publication-title: Hortscience – volume: 36 year: 2016 ident: b0015 article-title: Regulated deficit irrigation for crop production under drought stress. a review publication-title: Agron. Sustain. Dev. – volume: 9 start-page: 57757 year: 2021 end-page: 57791 ident: b0140 article-title: A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems publication-title: Ieee Access – volume: 70 start-page: 1056 year: 2021 end-page: 1072 ident: b0070 article-title: Proper deficit irrigation applied at various stages of growth can maintain yield and improve the comprehensive fruit quality and economic return of table grapes grown in greenhouses* publication-title: Irrig. Drain. – volume: 38 start-page: 124 year: 2022 end-page: 134 ident: b0155 article-title: Water production function of winter wheat based on root-weighted soil water availability publication-title: Trans. Chinese Soc. Agric. Eng. – volume: 241 year: 2020 ident: b0170 article-title: An integrated irrigation strategy for water-saving and quality-improving of cash crops: theory and practice in China publication-title: Agric. Water Manag. – volume: 66 start-page: 2253 year: 2015 end-page: 2269 ident: b0045 article-title: Deficit irrigation and sustainable water-resource strategies in agriculture for China’s food security publication-title: J. Exp. Bot. – volume: 10 start-page: 383 year: 1974 end-page: 386 ident: b0100 article-title: Towards the structure of a production function for wheat yields with dated input of irrigation water publication-title: Water Resour. Res. – volume: 13 start-page: 25 year: 1988 end-page: 32 ident: b0120 article-title: A simple dated water-production function for use in irrigated agriculture publication-title: Agric. Water Manage. – volume: 181 start-page: 2441 year: 2011 end-page: 2454 ident: b0080 article-title: Multi-objective optimization with artificial weed colonies publication-title: Inf. Sci. – volume: 289 year: 2023 ident: b0165 article-title: Deficit drip irrigation improves kiwifruit quality and water productivity under rain-shelter cultivation in the humid area of south China publication-title: Agric. Water Manag. – volume: 145 year: 2020 ident: b0090 article-title: A multiple search strategies based grey wolf optimizer for solving multi-objective optimization problems publication-title: Expert Syst. Appl. – start-page: 1 year: 1968 end-page: 22 ident: b0060 article-title: Water consumption by agricultural plants publication-title: Water Deficits in Plant Growth, 1 – reference: Schott, J.R., 1995. Fault tolerant design using single and multicriteria genetic algorithm optimization. – volume: 358 year: 2022 ident: b0150 article-title: Quantifying global agricultural water appropriation with data derived from earth observations publication-title: J. Clean. Prod. – year: 2016 ident: b0055 article-title: Performance comparison of nsga-ii and nsga-iii on various many-objective test problems publication-title: IEEE. – reference: Stewart, J.I., Hagan, R.M., Pruitt, W.O., 1976. Water production functions and predicted irrigation programs for principal crops as required for water resources planning and increased water use efficiency.PB-US National Technical Information Service (USA). 258051. – volume: 202 start-page: 311 year: 2018 end-page: 324 ident: b0050 article-title: Deficit irrigation and emerging fruit crops as a strategy to save water in mediterranean semiarid agrosystems publication-title: Agric. Water Manag. – start-page: 3 year: 2004 end-page: 37 ident: b0175 article-title: A tutorial on evolutionary multiobjective optimization publication-title: Metaheuristics for Multiobjective Optimisation – year: 2001 ident: 10.1016/j.compag.2025.110579_b0180 article-title: Spea2: improving the strength pareto evolutionary algorithm publication-title: Tech. Rep. Gloriastrasse – volume: 16 start-page: 2545 issue: 17 year: 2024 ident: 10.1016/j.compag.2025.110579_b0160 article-title: A review on the optimization of irrigation schedules for farmlands based on a simulation–optimization model publication-title: Water. – volume: 38 start-page: 124 issue: 08 year: 2022 ident: 10.1016/j.compag.2025.110579_b0155 article-title: Water production function of winter wheat based on root-weighted soil water availability publication-title: Trans. Chinese Soc. Agric. Eng. – ident: 10.1016/j.compag.2025.110579_b0125 – volume: 70 start-page: 1056 issue: 5 year: 2021 ident: 10.1016/j.compag.2025.110579_b0070 article-title: Proper deficit irrigation applied at various stages of growth can maintain yield and improve the comprehensive fruit quality and economic return of table grapes grown in greenhouses* publication-title: Irrig. Drain. – volume: 18 start-page: 348 issue: 3 year: 2013 ident: 10.1016/j.compag.2025.110579_b0085 article-title: Shift-based density estimation for Pareto-based algorithms in many-objective optimization publication-title: Ieee Trans. Evol. Comput. – volume: 47 start-page: 1510 issue: 6 year: 2017 ident: 10.1016/j.compag.2025.110579_b0145 article-title: Diversity assessment in many-objective optimization publication-title: Ieee t. Cybern. – ident: 10.1016/j.compag.2025.110579_b0183 – volume: 66 start-page: 2253 issue: 8 year: 2015 ident: 10.1016/j.compag.2025.110579_b0045 article-title: Deficit irrigation and sustainable water-resource strategies in agriculture for China’s food security publication-title: J. Exp. Bot. – volume: 36 issue: 1 year: 2016 ident: 10.1016/j.compag.2025.110579_b0015 article-title: Regulated deficit irrigation for crop production under drought stress. a review publication-title: Agron. Sustain. Dev. – volume: 202 start-page: 311 year: 2018 ident: 10.1016/j.compag.2025.110579_b0050 article-title: Deficit irrigation and emerging fruit crops as a strategy to save water in mediterranean semiarid agrosystems publication-title: Agric. Water Manag. – year: 2002 ident: 10.1016/j.compag.2025.110579_b0030 article-title: MOPSO: a proposal for multiple objective particle swarm optimization publication-title: Wcci. – volume: 13 start-page: 25 year: 1988 ident: 10.1016/j.compag.2025.110579_b0120 article-title: A simple dated water-production function for use in irrigated agriculture publication-title: Agric. Water Manage. – volume: 13 issue: 17 year: 2024 ident: 10.1016/j.compag.2025.110579_b0115 article-title: Climate change impacts on and response strategies for kiwifruit production: a comprehensive review publication-title: Plants – volume: 289 year: 2023 ident: 10.1016/j.compag.2025.110579_b0165 article-title: Deficit drip irrigation improves kiwifruit quality and water productivity under rain-shelter cultivation in the humid area of south China publication-title: Agric. Water Manag. – start-page: 1 year: 1968 ident: 10.1016/j.compag.2025.110579_b0060 article-title: Water consumption by agricultural plants – volume: 610 year: 2022 ident: 10.1016/j.compag.2025.110579_b0065 article-title: Energy and evapotranspiration partitioning over a humid region orchard: field measurements and partitioning model comparisons publication-title: J. Hydrol. – volume: 133 start-page: 44 year: 2014 ident: 10.1016/j.compag.2025.110579_b0110 article-title: Effects of deficit irrigation in different fruit growth stages on 'star ruby' grapefruit trees in semi-arid conditions publication-title: Agric. Water Manag. – volume: 9 start-page: 57757 year: 2021 ident: 10.1016/j.compag.2025.110579_b0140 article-title: A comprehensive review on NSGA-II for multi-objective combinatorial optimization problems publication-title: Ieee Access – ident: 10.1016/j.compag.2025.110579_b0005 – volume: 145 year: 2020 ident: 10.1016/j.compag.2025.110579_b0090 article-title: A multiple search strategies based grey wolf optimizer for solving multi-objective optimization problems publication-title: Expert Syst. Appl. – volume: 47 start-page: 106 year: 2016 ident: 10.1016/j.compag.2025.110579_b0105 article-title: Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization publication-title: Expert Syst. Appl. – volume: 358 year: 2022 ident: 10.1016/j.compag.2025.110579_b0150 article-title: Quantifying global agricultural water appropriation with data derived from earth observations publication-title: J. Clean. Prod. – year: 2016 ident: 10.1016/j.compag.2025.110579_b0055 article-title: Performance comparison of nsga-ii and nsga-iii on various many-objective test problems publication-title: IEEE. – volume: 8 start-page: 273 issue: 4 year: 1987 ident: 10.1016/j.compag.2025.110579_b0135 article-title: Comparative performance of different crop production functions for wheat (triticum aestivum l.) publication-title: Irrig. Sci. – volume: 18 start-page: 577 issue: 4 year: 2014 ident: 10.1016/j.compag.2025.110579_b0035 article-title: An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints publication-title: Ieee Trans. Evol. Comput. – volume: 54 start-page: 1492 issue: 9 year: 2019 ident: 10.1016/j.compag.2025.110579_b0075 article-title: Modeling the relationship of tomato yield parameters with deficit irrigation at different growth stages publication-title: Hortscience – volume: 843 year: 2022 ident: 10.1016/j.compag.2025.110579_b0095 article-title: Multi-objective winter wheat irrigation strategies optimization based on coupling aquacrop-ospy and NSGA-III: a case study in yangling, china publication-title: Sci. Total Environ. – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.compag.2025.110579_b0040 article-title: A fast and elitist multiobjective genetic algorithm: nsga-ii publication-title: Ieee Trans. Evol. Comput. – volume: 181 start-page: 2441 issue: 12 year: 2011 ident: 10.1016/j.compag.2025.110579_b0080 article-title: Multi-objective optimization with artificial weed colonies publication-title: Inf. Sci. – volume: 10 start-page: 383 year: 1974 ident: 10.1016/j.compag.2025.110579_b0100 article-title: Towards the structure of a production function for wheat yields with dated input of irrigation water publication-title: Water Resour. Res. – start-page: 3 year: 2004 ident: 10.1016/j.compag.2025.110579_b0175 article-title: A tutorial on evolutionary multiobjective optimization – volume: 29 start-page: 5605 issue: 7 year: 2022 ident: 10.1016/j.compag.2025.110579_b0130 article-title: A comprehensive review on multi-objective optimization techniques: past, present and future publication-title: Arch. Comput. Method Eng. – volume: 287 year: 2023 ident: 10.1016/j.compag.2025.110579_b0020 article-title: Multi-objective deficit drip irrigation optimization of citrus yield, fruit quality and water use efficiency using nsga-ii in seasonal arid area of southwest China publication-title: Agric. Water Manag. – volume: 241 year: 2020 ident: 10.1016/j.compag.2025.110579_b0170 article-title: An integrated irrigation strategy for water-saving and quality-improving of cash crops: theory and practice in China publication-title: Agric. Water Manag. – volume: 146 start-page: 131 year: 2014 ident: 10.1016/j.compag.2025.110579_b0025 article-title: Modeling relations of tomato yield and fruit quality with water deficit at different growth stages under greenhouse condition publication-title: Agric. Water Manag. – year: 1975 ident: 10.1016/j.compag.2025.110579_b0010 article-title: Optimal irrigation decisions with limited water |
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| SubjectTerms | Deficit irrigation Jensen model Multi-objective optimization Precision irrigation Water allocation strategy Water deficit sensitivity index |
| Title | Optimization of kiwifruit irrigation strategies using multi-objective optimization algorithms coupled with water production functions |
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