Soil water status and water table depth modelling using electromagnetic surveys for precision irrigation scheduling

Hedley, C. B.; Roudier, Pierre; Yule, Ian; Ekanayake, Jagath C.; Bradbury, S.

doi:10.1016/j.geoderma.2012.07.018

Cited by 75 publications

(44 citation statements)

References 15 publications

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“…Based on the EC maps, a targeted soil sampling can be conducted at different parts of the field. Topographic features that are likely to influence field-scale soil moisture dynamics are derived using the DEM [60].…”

Section: Proximal Sensing and Mapping Of Soil Moisturementioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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Globally, the irrigation of crops is the largest consumptive user of fresh water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This paper discusses how incorporating adaptive decision support systems into precision irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil-plant-atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

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Section: Proximal Sensing and Mapping Of Soil Moisturementioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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“…We note that given the similar soil texture classes (and thus the soil hydraulic parameters), this result is not unexpected. In practice, producers are beginning to adopt precision irrigation techniques (Hedley and Yule, 2009;Hedley et al, 2013). Smallscale features within a field (e.g., sandy or gravelly areas, underperforming parts of the field, waterways, pivot roads, etc.)…”

Section: Spatial Variability Of Applied Irrigationmentioning

confidence: 99%

A case study of field-scale maize irrigation patterns in western Nebraska: implications for water managers and recommendations for hyper-resolution land surface modeling

Gibson

Franz

Wang

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. In many agricultural regions, the human use of water for irrigation is often ignored or poorly represented in land surface models (LSMs) and operational forecasts. Because irrigation increases soil moisture, feedback on the surface energy balance, rainfall recycling, and atmospheric dynamics is not represented and may lead to reduced model skill. In this work, we describe four plausible and relatively simple irrigation routines that can be coupled to the next generation of hyper-resolution LSMs operating at scales of 1 km or less. The irrigation output from the four routines (crop model, precipitation delayed, evapotranspiration replacement, and vadose zone model) is compared against a historical field-scale irrigation database (2008-2014) from a 35 km 2 study area under maize production and center pivot irrigation in western Nebraska (USA). We find that the most yield-conservative irrigation routine (crop model) produces seasonal totals of irrigation that compare well against the observed irrigation amounts across a range of wet and dry years but with a low bias of 80 mm yr −1 . The most aggressive irrigation saving routine (vadose zone model) indicates a potential irrigation savings of 120 mm yr −1 and yield losses of less than 3 % against the crop model benchmark and historical averages. The results of the various irrigation routines and associated yield penalties will be valuable for future consideration by local water managers to be informed about the potential value of irrigation saving technologies and irrigation practices. Moreover, the routines offer the hyper-resolution LSM community a range of irrigation routines to better constrain irrigation decision-making at critical temporal (daily) and spatial scales (< 1 km).

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“…Sustainable use of freshwater resources in agriculture is partially possible through improvements of water use efficiency [4]- [5]. Furthermore, high water use efficiency can be ensured when good irrigation planning, precise irrigation scheduling, good management and agronomic practices are practiced alongside extra technology [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Determination of the Appropriate Irrigation Methods Based on Soil Analysis for Upland Fields in Mie Prefecture of Japan

Rahmany¹

2018

GEOMATE

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Inappropriate irrigation methods lead to loss much water in most upland fields worldwide. Land suitability is one of the good management practices for determining appropriate irrigation methods in upland fields. To determine land suitability, various soil experiments as determination of basic physical soil properties, permeability, saturated hydraulic conductivity and soil moisture characteristics method are important. This study was conducted on soil experiment with the aim to provide a detailed comprehensive understanding of soil capabilities for applying certain irrigation methods in two upland fields, broccoli field (BF) and tomato field (TF), in Mie prefecture of Japan. Soil physical structure properties, water holding capacity, and hydraulic properties were determined using disturb and undisturbed soil samples on laboratory bases. The results obtained showed that TF had deeper effective soil layer of 30 cm, better structure (more porosity, better pores connectivity, and channeling), the water holding capacity of 0.082 mm mm -1 , and higher hydraulic conductivity, compared to BF. It is concluded that TF is suitable for applying shallow surface irrigation method, while the BF have better response on micro-irrigation methods which prevents water pounding in this fields. Application of this approach can improve irrigation practices and efficiency and decreases water loses through accurate irrigation scheduling and application management of irrigation water in upland field agriculture system, especially in dry areas.

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Soil water status and water table depth modelling using electromagnetic surveys for precision irrigation scheduling

Cited by 75 publications

References 15 publications

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

A case study of field-scale maize irrigation patterns in western Nebraska: implications for water managers and recommendations for hyper-resolution land surface modeling

Determination of the Appropriate Irrigation Methods Based on Soil Analysis for Upland Fields in Mie Prefecture of Japan

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