Optimization of Irrigation Scheduling for Improved Irrigation Water Management in Bilate Watershed, Rift Valley, Ethiopia

Wabela, Kedrala; Hammani, Ali; Taky, Abdelilah; Tekleab, Sirak; El-Ayachi, Moha

doi:10.3390/w14233960

Cited by 9 publications

(5 citation statements)

References 40 publications

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“…Farmers' practices have lower yields and water productivity. This is the same as reported by [35] IV.CONCLUSIONS…”

Section: Water Productivitysupporting

confidence: 90%

Determination of Irrigation water requirement and Scheduling of onion at Low land area of Wag-himra, Northern Ethiopia

Adane,

Beza,

Wale

2023

IJ-FANRES

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Irrigation that saves water is important for satisfying the economic and environmental sustainability of commercial agriculture and improving the living standard of the people. Precision irrigation scheduling is critical to improving irrigation efficiency. A field experiment was conducted in two consecutive years at Abergelle irrigation schemes. The aim of the study was to determine crop water requirement and irrigation schedule of onion (when and how much to irrigate) for most market-oriented crops. The treatments were arranged with a factorial arrangement randomized complete block design with three replications. Three Levels of CROPWAT, fixed application depth (125%, 100%, and 75%ETc) and, three irrigation intervals (3, 4, and 5 days) and 1-farmer practice were used as control. The study result showed that 75% CROPWAT fixed depth at 3-day intervals achieved high water productivity, and saved 2873m3ha-1 of irrigation water compared with farmers’ method of irrigation. It provides additional irrigated land of 0.84 ha with a yield gain of 10.44 t ha-1. Therefore, a 3-day irrigation interval with 75% CROPWAT irrigation depth was recommended for the optimum yield and water productivity of the crop.

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“…Farmers' practices have lower yields and water productivity. This is the same as reported by [35] IV.CONCLUSIONS…”

Section: Water Productivitysupporting

confidence: 90%

Determination of Irrigation water requirement and Scheduling of onion at Low land area of Wag-himra, Northern Ethiopia

Adane,

Beza,

Wale

2023

IJ-FANRES

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“…Further, optimization of irrigation levels is a key factor in maximizing crop yield and water use efficiency. Wabela et al (2022) [3] found that optimizing irrigation based on moisture-stress-sensitivity levels can save irrigation water and maximize crop yield. The integration of IoT and automation in irrigation systems has the potential to transform farming practices, promoting sustainable agriculture and increasing efficiency (Archana et al, 2023; Kantilal et al, 2023 and Kaushik, 2023) [4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Effect of different sensor-based irrigation levels on growth, yield and economic viability of spinach (Spinacia oleracea L.) under reduced runoff farming

BB,

Thimmegowda,

Vasanthi

et al. 2024

Int. J. Res. Agron.

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Sensor based irrigation scheduling plays a vital role to rationalize irrigation water. A field experiment was conducted at AICRP on Dryland Agriculture, UAS, GKVK, Bengaluru during 2021-22 and 2022-23 to study the effect of irrigation scheduling in spinach Irrigation was assessed at 75, 50 and 25% ASM along with surface irrigation as a control. Scheduling irrigation at 75% ASM resulted in significantly higher growth attributes viz., plant height (36.18 and 37.83 cm, respectively), number of leaves (22.61 and 22.19, respectively), leaf length (34.17, 35.23 cm, respectively) leaf width (11.10 and 10.29 cm, respectively), fresh weight (55.95 and 63.38 g plant -1 ) and dry weight (6.20 and 5.06 g plant -1 ) at 30 and 60 DAS, respectively. Furthermore, scheduling irrigation at 75% ASM resulted in the higher mean leaf yield (3.85 t ha -1 ) compared to surface irrigation (2.89 t ha -1 ). Water use compared to surface irrigation decreased by 60.00 and 57.18 per cent at 75% ASM, 51.90 and 50.92 per cent at 50% ASM and 46.00 and 48.00 per cent at 25% ASM during 2021 and 2022, respectively. WUE followed a descending order: 75% ASM (3.15 kg m -3 ) > 50% ASM (2.28 kg m -3 ) > 25% ASM (1.06 kg m -3 ) > surface irrigation (0.96 kg m -3 ). The gross return (Rs. 456966 ha -1 ), net return (Rs. 223736 ha -1 ) and B: C ratio (1.96) recorded substantially higher at 75% ASM over surface irrigation.

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“…Globally, agriculture is a significant consumer of freshwater resources, and the projected acceleration in global population growth highlights the imminent surge in food demand, which directly impacts agricultural water usage [1,2]. Moreover, escalating carbon dioxide emissions contribute to an upsurge in greenhouse gases and accelerate climate change.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Coupling between Water and Energy Consumption in a Smart Integrated Photovoltaic Pumping Station System

Xu,

Chen

2024

Water

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Agricultural irrigation requires significant consumption of freshwater resources and energy. The integration of photovoltaic power generation into irrigation systems has been extensively investigated in order to save the cost of energy. However, current research often neglects the coupling relationship between photovoltaic power generation and irrigation schemes. This study presented a novel smart integrated photovoltaic pump station system to effectively address the issue associated with water and energy consumption in irrigation. An optimization model was proposed to synchronize the energy consumption of irrigation pump stations with photovoltaic power generation, accurately meeting the irrigation water demand while maximizing solar energy utilization. The optimization model incorporates power balance, grid-connected power, and total water demand as constraints while considering pump speed as the decision variable and aiming to minimize daily operational costs. Finally, a high-standard farmland was used as a case study to validate the efficacy of the optimization strategy through two photovoltaic grid-connected policies—one allowing for the sale of surplus power and the other prohibiting it. An improved dynamic programming method was employed to solve for optimal energy consumption schemes under different water demand conditions; the results were compared against traditional methods, revealing potential cost savings ranging from 6.2% to 30.5%. The optimization model and method propose a new operational concept for the irrigation system with photovoltaic generation, effectively utilizing the distinctive features of both irrigation and photovoltaics to optimize water and energy resources.

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Optimization of Irrigation Scheduling for Improved Irrigation Water Management in Bilate Watershed, Rift Valley, Ethiopia

Cited by 9 publications

References 40 publications

Determination of Irrigation water requirement and Scheduling of onion at Low land area of Wag-himra, Northern Ethiopia

Determination of Irrigation water requirement and Scheduling of onion at Low land area of Wag-himra, Northern Ethiopia

Effect of different sensor-based irrigation levels on growth, yield and economic viability of spinach (Spinacia oleracea L.) under reduced runoff farming

Optimization of the Coupling between Water and Energy Consumption in a Smart Integrated Photovoltaic Pumping Station System

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