A Fuzzy Decision Support System for irrigation and water conservation in agriculture

Giusti, E.; Marsili-Libelli, Stefano

doi:10.1016/j.envsoft.2014.09.020

Cited by 145 publications

(69 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The system was capable of maintaining soil moisture thresholds in the specified range. Giusti and Marsili-Libelli [125] described an adaptive irrigation decision support system implemented with fuzzy logic. The system incorporates a predictive model of the soil moisture and an inference system for maintaining the soil moisture within an acceptable threshold.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

View full text Add to dashboard Cite

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.

show abstract

Section: Fuzzy Logicmentioning

confidence: 99%

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Clean technologies in agriculture aiming at reducing resource inputs (water, energy, and other constitutes), producing renewable energy or protecting the environment were studied and prioritized for decision making [26]. Field implementation of improved automated irrigation system based on crop and site characteristics along with fuzzy decision support approach was used with remarkable water savings [51]. An investigation on options and difficulties to improve water-efficient practices in irrigation showed that the farmers may lack adequate knowledge or requires strong incentives to make extra efforts to improve water efficiency level [52].…”

Section: Discussionmentioning

confidence: 99%

Water–Energy Nexus for Multi-Criteria Decision Making in Water Resource Management: A Case Study of Choshui River Basin in Taiwan

Lee

Chiang

et al. 2018

Water

View full text Add to dashboard Cite

The Choshui river basin, the mother river in Taiwan, suffers from severe water shortage from extensive water use in irrigation as well as land subsidence from over-pumping of groundwater. To address these challenges, several water-related strategies and actions, including enhancement of water-use efficiency, development of alternative water sources, and improvement in effective water management, were proposed in this study to support sustainable water resource management in the watershed. Management of water resources in Taiwan is expected to confront not only freshwater resource but also energy source constraints. Multi-criteria decision analysis (MCDA), an approach for ranking overall performances of decision options, was then used to prioritize the water resource management strategies. The analysis considered economic (economic feasibility) and environmental (stability from the influence of climate change) criteria in the context of water-energy nexus (water supply/conservation potential and systemic energy efficiency). Our results indicated that, while economic feasibility was considered as the most important factor in implementation of the practices, improvement in groundwater pumping control and management was ranked as a high-priority water resource management action, followed by initiating water conservation programs for residential sector and reducing leakage rate for agricultural irrigation canals. The results from this study are expected to provide direction for future decision making in water resource management.

show abstract

“…In agriculture they can be employed to analyse: performance of agricultural machines (Ampatzidis et al, 2014;Coen et al, 2008 andEbrahimi et al, 2013), agronomic operations ( Van't Ooster et al, 2014 andBochtis et al, 2014), production management (Tedeschi et al, 2011 andReynoso-Campos et al, 2004), production economy (Valdivia et al, 2012 andLi, 2011) possibility of greenhouse emission reduction (Crosson et al, 2011) and other areas of agricultural production and systems (Wallach et al, 2014;Rosenzweig et al, 2013;Rossing et al, 2007). One of the tools used in numerical modelling and analysis of various systems is the Matlab environment, widely used in the area of agriculture (Giusti and Marsili-Libelli, 2015;Menesatti et al, 2014;Zhang et al, 2011;Papadopoulos et al, 2011;Cool et al, 2014 andOdegard andvan der Voet, 2014), including modelling of the renewable energy systems (Kıyan et al, 2013;Woinaroschy, 2014;Da Silva and Fernandes, 2010;Nakoul et al, 2014;Taghavifar andMardani, 2014 andSefeedpari et al, 2014). As a useful tool, this programming environment has been used to simulate the operation of the system presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

Carbon dioxide emission reduction by heating poultry houses from renewable energy sources in Central Europe

Kapica

Pawlak

Ścibisz

2015

Agricultural Systems

View full text Add to dashboard Cite

A Fuzzy Decision Support System for irrigation and water conservation in agriculture

Cited by 145 publications

References 21 publications

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Water–Energy Nexus for Multi-Criteria Decision Making in Water Resource Management: A Case Study of Choshui River Basin in Taiwan

Carbon dioxide emission reduction by heating poultry houses from renewable energy sources in Central Europe

Contact Info

Product

Resources

About