A Decision Support System for Planning New Products Introductions in Fresh Produce Supply Chains

This research develops an initial proposal of a Decision Support System –DSS– to plan the production and distribution of new fresh agricultural products. This system is based on a hierarchical approach, which can be applied to enterprises as a planning module or as a stand-alone system for crop production. In this paper is stressed the importance of the DSS for small and medium-sized companies, or for small group of growers that need to improve coordination between their growing and market decisions. The DSS covers the strategic, tactical and operational decisions for every season, focusing on new product introduction. The aim of DSS is increasing the competitiveness of growers in a highly variable and complex marketplace. The agri-food sector still needs evolving to meet increasing demands, understand particular tastes of new consumers and evaluating the requirements of new players.

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Decision Support System for the Agri-food Sector – The Sousacamp Group Case

New Contributions in Information Systems and Technologies - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-16486-1_54 ◽

2015 ◽

pp. 553-563 ◽

Cited By ~ 11

Author(s):

Frederico Branco ◽

Ramiro Gonçalves ◽

José Martins ◽

Manuel Pérez Cota

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Food Sector ◽

Group Case

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A Decision Support System for the Economic-Environmental Assessment of Crop Production

Economic Studies on Food, Agriculture, and the Environment ◽

10.1007/978-1-4615-0609-6_22 ◽

2002 ◽

pp. 355-360

Author(s):

Guido Maria Bazzani ◽

Paolo Caggiati ◽

Carlo Pirazzoli

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Environmental Assessment ◽

Crop Production

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A Decision Support System for Subjective Forecasting of New Product Sales

International Journal of Computer Applications ◽

10.5120/ijca2015905997 ◽

2015 ◽

Vol 126 (2) ◽

pp. 25-30 ◽

Cited By ~ 2

Author(s):

Mohamed Hassan ◽

Abeer Badr ◽

Alaa El-Ghazali

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

New Product ◽

Product Sales

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An Integrated Decision Support System for Intercropping

International Journal of Decision Support System Technology ◽

10.4018/jdsst.2010070104 ◽

2010 ◽

Vol 2 (3) ◽

pp. 51-66 ◽

Cited By ~ 3

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.

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MACHoice: a Decision Support System for agricultural machinery management

Open Agriculture ◽

10.1515/opag-2019-0029 ◽

2019 ◽

Vol 4 (1) ◽

pp. 305-321 ◽

Cited By ~ 2

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.

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