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

DESYCO: A decision support system for the regional risk assessment of climate change impacts in coastal zones

2016 ◽  
Vol 120 ◽  
pp. 49-63 ◽  
Author(s):  
Silvia Torresan ◽  
Andrea Critto ◽  
Jonathan Rizzi ◽  
Alex Zabeo ◽  
Elisa Furlan ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Climate Change Impacts ◽  
Coastal Zones ◽  
Regional Risk Assessment ◽  
Regional Risk

A User-centered Decision Support System for Climate Change Adaptation Planning

2020 ◽  
Vol 11 (6-1) ◽  
pp. 657-667
Author(s):  
Jung Hee Hyun ◽  
Ji Yeon Kim ◽  
Dong Kun Lee ◽  
Ju Young Huh ◽  
Chae Young Bae ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Climate Change Adaptation ◽  
Support System ◽  
Adaptation Planning ◽  
User Centered

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 for NPK fertilization: a solution method for minimizing the impact on human health, climate change, ecosystem quality and resources

2020 ◽  
Vol 55 (11) ◽  
pp. 1267-1282
Author(s):  
Ramiro Meza-Palacios ◽  
Alberto A. Aguilar-Lasserre ◽  
Luis F. Morales-Mendoza ◽  
José O. Rico-Contreras ◽  
Luis H. Sánchez-Medel ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Human Health ◽  
Support System ◽  
Solution Method ◽  
Ecosystem Quality ◽  
The Impact ◽  
Npk Fertilization

scholarly journals Integrating climate change criteria in reforestation projects using a hybrid decision-support system

2015 ◽  
Vol 10 (9) ◽  
pp. 094022 ◽  
Author(s):  
Jorge Curiel-Esparza ◽  
Nuria Gonzalez-Utrillas ◽  
Julian Canto-Perello ◽  
Manuel Martin-Utrillas
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Decision Support System ◽  
Support System
Sign in / Sign up

Export Citation Format

Share Document