Assimilation of a Satellite-Based SoilMoisture Product into a Two-Layer Water Balance Model for a Global Crop Production Decision Support System

2009 ◽  
pp. 449-463 ◽  
Author(s):  
John D. Bolten ◽  
Wade T. Crow ◽  
Xiwu Zhan ◽  
Curt A. Reynolds ◽  
Thomas J. Jackson
Keyword(s):  
Decision Support ◽  
Water Balance ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Water Balance Model ◽  
Balance Model ◽  
Production Decision

An Integrated Decision Support System for Intercropping

2010 ◽  
Vol 2 (3) ◽  
pp. 51-66 ◽  
Author(s):  
A. S. Sodiya ◽  
A. T. Akinwale ◽  
K. A. Okeleye ◽  
J. A. Emmanuel
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Large Scale ◽  
Weather Condition ◽  
Agricultural Practice ◽  
Pests And Diseases ◽  
General Decline ◽  
Fertility Protection

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack of required intercropping expertise. Consequently, this has resulted in inadequate reward for farmers and a general decline in crop production. In this regard, the authors present an Intelligent and Integrated Intercropping Decision Support System for Intercropping (IDSS-I) for improved crop production. The design adopts a forecasting component that provides farmers with the estimated yield and income depending on the size of land, soil type and weather condition. Although the implementation was carried out using JAVA and SQL, usability testing revealed 85% acceptance of the tool among the contacted 10 large scale farmers. It was also confirmed that the system provided 95% diagnosis information for 90% common Africa crop diseases.

scholarly journals MACHoice: a Decision Support System for agricultural machinery management

2019 ◽  
Vol 4 (1) ◽  
pp. 305-321 ◽  
Author(s):  
M. Cunha ◽  
S.G. Gonçalves
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Work Capacity ◽  
Production Costs ◽  
Modern Agriculture ◽  
Level Of Automation ◽  
High Level ◽  
User Friendly

AbstractMechanisation is a key input in modern agriculture, while it accounts for a large part of crop production costs, it can bring considerable farm benefits if well managed. Models for simulated machinery costs, may not replace actual cost measurements but the information obtained through them can replace a farm’s existing records, becoming more valuable to decision makers. MACHoice, a decision support system (DSS) presented in this paper, is a farm machinery cost estimator and break-even analyzer of alternatives for agricultural operations, developed using user-driven expectations and in close collaboration with agronomists and computer engineers. It integrates an innovative algorithm developed for projections of machinery costs under different rates of annual machine use and work capacity processing, which is crucial to decisions on break-even machinery alternatives. A case study based on the comparison of multiple alternatives for grape harvesting operations is presented to demonstrate the typical results that can be expected from MACHoice, and to identify its capabilities and limitations. This DSS offers an integrated and flexible analysis environment with a user-friendly graphical interface as well as a high level of automation of processing chains. The DSS-output consists of charts and tables, evidencing the differences related to costs and carbon emissions between the options inserted by the user for the different intensity of yearly work proceeded. MACHoice is an interactive web-based tool that can be accessed freely for non-commercial use by every known browser.

Decision Support System to Study Climate Change Impacts on Crop Production

2015 ◽  
pp. 51-75 ◽  
Author(s):  
Gerrit Hoogenboom ◽  
Gordon Y. Tsuji ◽  
Nigel B. Pickering ◽  
R. Bruce Curry ◽  
James W. Jones ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Climate Change Impacts

Benchmarking enhancements to a decision support system for global crop production assessments

2011 ◽  
Vol 38 (7) ◽  
pp. 8054-8065 ◽  
Author(s):  
Wim van Leeuwen ◽  
Chuck Hutchinson ◽  
Sam Drake ◽  
Brad Doorn ◽  
Verne Kaupp ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production

scholarly journals Design and development of a planning support system for policy formulation in water resources rehabilitation: the case of Alcázar De San Juan District in Aquifer 23, La Mancha, Spain

2002 ◽  
Vol 4 (3) ◽  
pp. 157-175 ◽  
Author(s):  
Mohammad Ali Sharifi ◽  
Erasmo Rodriguez
Keyword(s):  
Water Balance ◽  
Support System ◽  
Evaluation Model ◽  
Policy Formulation ◽  
Water Balance Model ◽  
Mixed Integer ◽  
Balance Model ◽  
Planning Model ◽  
Planning Support ◽  
Planning Support System

To support policy formulation for rehabilitation of the natural environment in the Western Mancha region in Spain, a planning support system was developed and applied. The system is based on a framework developed for planning and decision making, and includes three main components, namely, a water balance model of the groundwater basin, a planning model and an evaluation model. The water balance model, which makes use of GIS and remote sensing, simulates the average yearly recharge of the aquifer system in relation to the land use changes for average meteorological conditions, to help understand the current situation; the planning model, which makes use of mixed integer programming, simulates the reaction of farmers towards the changes in the present subsidy schemes and helps formulate a proper policy instruments; and finally the evaluation model, which makes use of multicriteria decision analysis to support the evaluation of developed policies and selection of attractive scenarios based on the identified criteria and the preferences/opinion of various decision makers.

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