Automation of a Center Pivot Using the Temperature-Time-Threshold Method of Irrigation Scheduling

Peters, R. Troy; Evett, Steven R.

doi:10.1061/(asce)0733-9437(2008)134:3(286)

Cited by 89 publications

(60 citation statements)

References 9 publications

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“…The positive net returns indicate that both farmers and conservationists gain from the technologies. Though the utility of unmanned aerial vehicles for precision management through mapping crop water stress has been demonstrated [57][58][59][60][61], and plant-based monitoring of water stress to automate variable-rate irrigation has shown the ability to improve irrigation water use [14], systematic and multidisciplinary research is still necessary to verify and quantify improvements from managing crop inputs based on images from unmanned aerial vehicles [61,65].…”

Section: Resultsmentioning

confidence: 99%

“…Automated closed-loop programs that include data processing are likely to emerge in the near future, so costs are likely to change. Peters and Evett [14] demonstrated the automation of variable-rate irrigation using the Temperature-Time-Threshold (TTT) method of plant monitoring to determine water stress and compared results with those of soil moisture sensor monitoring methods. The TTT method was not quite as water efficient as the soil moisture sensing method.…”

Section: Production Cost and Water Use Factors For Remote Monitoring mentioning

confidence: 99%

“…The TTT method was not quite as water efficient as the soil moisture sensing method. Based on the relative water-use efficiencies for increasing yield observed by Peters and Evett [14] (TTT = 0.909 kg dry biomass/m 3 irrigation water, SMS = 0.961 kg dry biomass/m 3 irrigation water), a water-use adjustment factor for each crop was calculated for the precision irrigation scenario informed by unmanned aerial vehicle monitoring. [15]; c [52,55]; d [14]; e [63,64]; f [49].…”

Section: Production Cost and Water Use Factors For Remote Monitoring mentioning

confidence: 99%

“…For the purposes of managing variable irrigation rates, two different paradigms of monitoring field-level spatial variability have emerged and proved effective: one based on monitoring soil properties and the other on monitoring plant conditions [6,14,15]. Hedley and Yule [6] demonstrated the potential to reduce irrigation water use by using soil-water balance to inform variable-rate irrigation of pre-mapped management zones at two sites in New Zealand.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Addressing Groundwater Declines with Precision Agriculture: An Economic Comparison of Monitoring Methods for Variable-Rate Irrigation

West

Kovacs²

2017

Water

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Irrigated row-crop agriculture is contributing to declining groundwater in areas such as the Mississippi Delta region of eastern Arkansas. There is a need to move toward sustainable levels of groundwater withdrawal. Recent improvements in remote monitoring technologies such as wireless soil moisture sensors and unmanned aerial vehicles offer the potential for farmers to effectively practice site-specific variable-rate irrigation management for the purpose of applying water more efficiently, reducing pumping costs, and retaining groundwater. Soil moisture sensors and unmanned aerial vehicles are compared here in terms of their net returns per acre-foot and cost-effectiveness of aquifer retention. Soil moisture sensors ($9.09 per acre-foot) offer slightly more net returns to producers than unmanned aerial vehicles ($7.69 per acre-foot), though costs associated with unmanned aerial vehicles continue to drop as more manufacturers enter the market and regulations become clear.

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Section: Resultsmentioning

confidence: 99%

Section: Production Cost and Water Use Factors For Remote Monitoring mentioning

confidence: 99%

Section: Production Cost and Water Use Factors For Remote Monitoring mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Addressing Groundwater Declines with Precision Agriculture: An Economic Comparison of Monitoring Methods for Variable-Rate Irrigation

West

Kovacs²

2017

Water

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“…The amount of time that calculated canopy temperature is above the threshold temperature can be used to schedule irrigation. Peters and Evett (2008) developed a completely automated center pivot irrigation system based on this concept. Canopy temperature data were logged from sixteen calibrated IRTs on the center pivot lateral.…”

Section: Time-temperature Thresholdsmentioning

confidence: 99%

Potential and Challenges in Use of Thermal Imaging for Humid Region Irrigation System Management

Thomson

Ouellet‐Plamondon

DeFauw

et al. 2012

JAS

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Thermal imaging has shown potential to assist with many aspects of irrigation management that include scheduling application of water and detecting leaking irrigation canals and delivery systems. There are particular challenges for use of thermal imaging for scheduling irrigation in humid subtropical climates, which include the need for fine delineation of canopy temperatures under low vapor pressure deficits, proper accounting for micrometeorological conditions, and altitude effects on canopy temperature represented at the camera. A review of pertinent issues involved in using thermal methods for sensing canopy temperature is presented that can be applied to the imaging problem. Altitude effects were demonstrated in a new field experiment, and multiple regression was used to indicate and model weather and altitude effects. The use of spatial statistics was shown to enhance the value of thermal imagery using sensor fusion. Thermal imagery was also useful in detecting leakage from irrigation systems in the context of overall irrigation system management.

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A vision of precision agriculture: Balance between agricultural sustainability and environmental stewardship

Nath¹

2023

Agronomy Journal

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Precision agriculture (PA) has become an increasingly popular approach to sustainable intensification in agriculture, with the intent of a balance between agricultural productivity and environmental stewardship. Sustainable intensification aims to increase agricultural productivity while minimizing negative environmental impacts. To assist this, PA has been enabled through the use of advanced technologies such as the Internet of Things, global positioning system, geographic information systems, sensors, drones, and machine learning. These technologies have enabled farmers to practice more efficient and precise farming techniques. This review provides a vision of sustainable intensification and explores the potential of PA to contribute to this goal. This review emphasizes various PA practices, such as precise irrigation and fertilizer management, accurate pest and disease management, and precise livestock farming. PA is also explored for its role in addressing climate change through mitigation and adaptation, while proactively addressing the barriers and challenges that may arise in implementing sustainable PA. Therefore, the future of sustainable precision agriculture lies in technological innovation, sustainable farming practices, data analytics, and policy interventions.

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Automation of a Center Pivot Using the Temperature-Time-Threshold Method of Irrigation Scheduling

Cited by 89 publications

References 9 publications

Addressing Groundwater Declines with Precision Agriculture: An Economic Comparison of Monitoring Methods for Variable-Rate Irrigation

Addressing Groundwater Declines with Precision Agriculture: An Economic Comparison of Monitoring Methods for Variable-Rate Irrigation

Potential and Challenges in Use of Thermal Imaging for Humid Region Irrigation System Management

A vision of precision agriculture: Balance between agricultural sustainability and environmental stewardship

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