The Role of ICT in Improving Sequential Decisions for Water Management in Agriculture

被引:11
作者
Cavazza, Francesco [1 ]
Galioto, Francesco [1 ]
Raggi, Meri [2 ]
Viaggi, Davide [1 ]
机构
[1] Univ Bologna, Dept Agr & Food Sci, Viale Fanin 50, I-40127 Bologna, Italy
[2] Univ Bologna, Dept Stat Sci, Via Belle Arti 41, I-40126 Bologna, Italy
基金
欧盟地平线“2020”;
关键词
ICT; water management; Bayesian decision theory; climate change; irrigated agriculture; SEASONAL CLIMATE FORECASTS; INFORMATION; TECHNOLOGY; SCIENCE; STATE;
D O I
10.3390/w10091141
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Numerous Information and Communication Technologies (ICTs) applications have been developed in irrigated agriculture. While there are studies focusing on ICTs impacts at the farm level, no research deals with this issue at the Water Authority (WA) level where ICTs can support strategic decisions on land and water allocation. The present study aims to design a theoretical model to estimate economic benefits from the ICT-informed decision process of water management in agriculture. Specifically, the study analyzes the motivations driving a case study WA using ICTs to support strategic management decisions involving risky choices. Results show that the WA under investigation has potentialities to save water and to implement adaptation strategies to climate change. Higher benefits from ICTs are attainable in areas with limited water availability and where the WA can effectively manage land allocation and control water delivery volumes. The study concludes that ICTs might have a disruptive potential in fulfilling WA's specific information needs, but there is still a need to improve their accuracy due to the risk surrounding the decisions at stake.
引用
收藏
页数:20
相关论文
共 25 条
[1]   The promise (and pitfalls) of ICT for agriculture initiatives [J].
Aker, Jenny C. ;
Ghosh, Ishita ;
Burrell, Jenna .
AGRICULTURAL ECONOMICS, 2016, 47 :35-48
[2]  
Bikhchandani S, 2013, CAMB SURV ECON LIT, P1, DOI 10.1017/CBO9781139016209
[3]   Assessing the value of information for water quality management in the North Sea [J].
Bouma, J. A. ;
van der Woerd, H. J. ;
Kuik, O. J. .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2009, 90 (02) :1280-1288
[4]   Countering the loading-dock approach to linking science and decision making - Comparative analysis of El Nino/Southern Oscillation (ENSO) forecasting systems [J].
Cash, David W. ;
Borck, Jonathan C. ;
Patt, Anthony G. .
SCIENCE TECHNOLOGY & HUMAN VALUES, 2006, 31 (04) :465-494
[5]   Valuing seasonal climate forecasts in a state-contingent manner [J].
Crean, Jason ;
Parton, Kevin ;
Mullen, John ;
Hayman, Peter .
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2015, 59 (01) :61-77
[6]  
Deichmann U., 2016, WILL DIGITAL TECHNOL, DOI [https://doi.org/10.1596/1813-9450-7669, DOI 10.1596/1813-9450-7669]
[7]  
Denton F, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1101
[8]   Value of decadal climate variability information for agriculture in the Missouri River basin [J].
Fernandez, Mario Andres ;
Huang, Pei ;
McCarl, Bruce ;
Mehta, Vikram .
CLIMATIC CHANGE, 2016, 139 (3-4) :517-533
[9]   Beyond the "fit": introducing climate forecasts among organic farmers in Georgia (United States) [J].
Furman, Carrie ;
Roncoli, Carla ;
Crane, Todd ;
Hoogenboom, Gerrit .
CLIMATIC CHANGE, 2011, 109 (3-4) :791-799
[10]   Assessing the Potential Economic Viability of Precision Irrigation: A Theoretical Analysis and Pilot Empirical Evaluation [J].
Galioto, Francesco ;
Raggi, Meri ;
Viaggi, Davide .
WATER, 2017, 9 (12)