Advanced monitoring and management systems for improving sustainability in precision irrigation

Adeyemi, O.; Grove, I.G.; Peets, S. and Norton, T. (2017) Advanced monitoring and management systems for improving sustainability in precision irrigation. Sustainability, 9 (3).

[img]
Preview
Text
Ivan grove advanced monitoring 15 Feb 17 upload.pdf - Published Version
Available under License Creative Commons Attribution.

Download (940kB) | Preview
Official URL: https://doi.org/10.3390/su9030353

Abstract

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.

Item Type: Article
Keywords: precision irrigation, adaptive decision support systems, model predictive control, crop yield, water savings, sustainability
Members: Harper Adams University
Depositing User: Ms Kath Osborn
Date Deposited: 28 Apr 2017 15:49
Last Modified: 28 Apr 2017 15:49
URI: http://collections.crest.ac.uk/id/eprint/15610

Actions (login required)

Edit Item Edit Item