Twenty-two percent less water on maize with a new subscriber decision support tool

2014 ◽  
Vol 9 (1) ◽  
pp. 115-123
Author(s):  
Bertrand Pinel ◽  
Marianne Moalic
Keyword(s):  
Decision Support ◽  
Water Use ◽  
Irrigation System ◽  
New Technology ◽  
Irrigation Management ◽  
Decision Support Tool ◽  
Management Service ◽  
Management Tools ◽  
Support Tool ◽  
Pump Speed

As a case study, this paper shows how a French cooperative seized on a new technology (capacitance sensors), tested it in real conditions (irrigation of maize in several Agronomic Department trial fields) and is now able to offer to its farmer members a subscriber decision support tool (DST) to increase water use efficiency. Thus, technical and scientific trials have been conducted with fourteen farmers over the last four years. Managing irrigation with capacitance probes has resulted in an increase in water efficiency: most of the time, there is a reduction in water supply (the average is 22% (range 4–44%) less water use than without the probes). Sometimes, only a yield increase is observed with the same water quantity (see 2010 trial – farmer 2). In 2012 Terrena conducted market research on 28 farmer members and 20 crop advisors. This showed that most farmers who irrigate do not use irrigation management tools. However with a tightening of regulations and an increase in irrigation costs, attitudes are changing. Thus, 12 farmers questioned, said they were ready to pay for an irrigation management service based on capacitance probes (continuous real time monitoring of soil moisture). It also showed that irrigation advice needs to take into account global irrigation system constraints (number of rollers, pump speed and the like). Farmers are ready to pay for an efficient irrigation management DST. So as to be ready for a 2013 launch, a DST soft-launch was set-up in 2012 on ten experimental farms. The usual working practices of irrigators cannot be expected to change overnight. However, this study shows how important is the farmers' involvement in the building of this service, coupled with that of their crop advisors. Because farmers were involved at the beginning of the DST creation process, it made it possible to convince all of them to use this tool in a more sustainable manner.

Challenges Contributing to the General Aviation Weather Problem & Decision Support Systems Technology Recommendations

2018 ◽  
Vol 62 (1) ◽  
pp. 1771-1775 ◽  
Author(s):  
Jayde King ◽  
Yolanda Ortiz ◽  
Beth Blickensderfer ◽  
Emalee Christy
Keyword(s):  
Decision Support ◽  
Planning Process ◽  
New Technology ◽  
Decision Support Tool ◽  
Meteorological Conditions ◽  
General Aviation ◽  
Support Tool ◽  
Instrument Meteorological Conditions ◽  
Decision Making Biases ◽  
Aviation Weather

General Aviation (GA) weather related accidents have steadily remained the most fatal accidents and incidents in the GA flight community. The majority of these accidents involve low-experienced Visual Flight Rule (VFR) pilots, inadvertently encountering Instrument Meteorological Conditions (IMC). Previous research indicates, poor inflight weather avoidance could stem from insufficient preflight weather planning. Further investigation reveals, pilots’ face many challenges during the preflight planning process, including: poor weather product interpretation/ usability, decision making biases and errors, and inadequate aviation weather experience. However, with new technology on the rise, a preflight decision support tool may help guide novice pilots through the preflight process successfully. This paper will discuss the challenges novice pilots encounter during the preflight process and offer recommendations for applying a preflight decision support tool as a solution.

scholarly journals Implementation of Sensor-based Automated Irrigation in Commercial Floriculture Production: A Case Study

2018 ◽  
Vol 28 (6) ◽  
pp. 719-727 ◽  
Author(s):  
William D. Wheeler ◽  
Paul Thomas ◽  
Marc van Iersel ◽  
Matthew Chappell
Keyword(s):  
Water Use ◽  
Irrigation System ◽  
New Technology ◽  
Irrigation Management ◽  
Plant Size ◽  
Moisture Sensor ◽  
Irrigation Water Use ◽  
Commercial Grower ◽  
Irrigation Treatments ◽  
Technology Managers

A soil moisture sensor-based automated irrigation system was trialed in a commercial floriculture greenhouse to determine what benefits these types of systems may offer to herbaceous ornamental producers. Water use, crop quality and growth, and grower behavior toward adoption of the new technology were monitored, when all decision making related to system operation was carried out by the grower. Two cultivars of poinsettia (Euphorbia ×pulcherrima) and three cultivars of geranium (Pelargonium ×hortorum) were produced in side-by-side trials over the course of 2 years while comparing grower-controlled, sensor-based automated irrigation with traditional grower-managed (timer-based) irrigation. Plant quality was equivalent between irrigation treatments across all five trials. Differences in plant size were noted in four of the five trials between irrigation treatments, but in all instances these differences were not judged by the commercial grower to impact marketability of the crop. No reductions in irrigation water use were noted with the sensor-based irrigation system, which differed from previous research using this technology in ornamental production. Over the course of 2 years, the number of plants produced using sensor-based irrigation control was scaled up, indicating increasing confidence in, and adoption of, the technology. Managers at the facility found that sensor-based irrigation facilitated reallocation of labor from irrigation management, which was especially valuable during peak production and shipping periods. The payback period calculated from labor savings would be roughly 1.5 years if the sensor-based irrigation system was implemented throughout the facility.

scholarly journals MIKE BASIN Based Decision Support Tool for Water Sharing and Irrigation Management in Rangawan Command of India

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
R. K. Jaiswal ◽  
N. C. Ghosh ◽  
Poonam Guru ◽  
Devakant
Keyword(s):  
Decision Support ◽  
Supply And Demand ◽  
Irrigation Management ◽  
Decision Support Tool ◽  
Madhya Pradesh ◽  
Cropping Pattern ◽  
Irrigation Planning ◽  
Support Tool ◽  
Water Sharing ◽  
Irrigation Demand

In this study, MIKE BASIN has been used as a decision support tool for irrigation management and water sharing of Rangawan reservoir, an interstate project of Madhya Pradesh and Uttar Pradesh in India. The water sharing and optimum irrigation releases have been analyzed by developing two separate models in decision support tool; the first model computes irrigation demand and offers inputs to the second model, which calculates water supplies and deficits as per the water sharing agreements between the two states. The models have been used to generate twelve different scenarios for evaluation of irrigation demands, water supply, and demand deficit/excess for actual cropping pattern in command of Madhya Pradesh part. Simulated results showed, in average/wet rainfall year with conveyance efficiency of 60% and application efficiency of 70%, the irrigation demand of 11.83 Mm3has been found satisfying without any deficit. By improving efficiencies, conjunctive use, and managing irrigation supplies as recommended from scenarios of DSS application, more areas in the command can be brought under irrigation. The developed models can be used for real time reservoir operation and irrigation planning under variable climatic conditions, conveyance and application efficiencies, consumptive use of surface and groundwater, and probable runoff and cropping pattern.

Asset liability management for individual households

2011 ◽  
Vol 16 (2) ◽  
pp. 405-439 ◽  
Author(s):  
M. A. H. Dempster ◽  
E. A. Medova
Keyword(s):  
Decision Support ◽  
New Technology ◽  
Decision Support Tool ◽  
Cash Flows ◽  
Individual Investors ◽  
Asset Liability Management ◽  
Support Tool ◽  
Liability Management ◽  
Dynamic Stochastic ◽  
Individual Asset

AbstractPersonal finance is a challenging topic which can benefit from a scientific approach to individual financial planning. This paper presents an individual asset liability management (iALM) model for life cycle planning which uses the methodology of dynamic stochastic optimisation and incorporates ideas from both classical and behavioural finance. Its implementation is in the form of a decision support tool for use by financial advisers or wealth managers. The investment universe is given by a set of indices for major asset classes and their returns are simulated forward over the lifetime of a household. On the liability side the foreseen cash flows of incomes and outgoings are simulated and punctuated by life events such as illness and death. The household's utility function is constructed for each time period over a range of monetary values in terms of household financial goals and preferences. Taxes and pension savings are treated using the tax shielded saving accounts specific to a national jurisdiction in terms of constraints in the optimisation sub-models. The paper goes on to present an analysis ofiALM model recommendations for a representative UK household, together with an evaluation of the sensitivity of the financial plan generated to changes in market environments such as the 2007–9 crisis. The promise of this new technology is to bring modern decision support tools to individual investors in order to facilitate custom designed consumption, savings and investment policies.

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