Online citations, reference lists, and bibliographies.
← Back to Search

Biophysical Agricultural Assessment And Management Models For Developing Countries

G. Hoogenboom, Carlos L. Pérez, D. Rossiter, P. V. Laake
Published 2000 · Geography

Save to my Library
Download PDF
Analyze on Scholarcy
Publisher Summary Scientists in the developed world, in an effort to develop tools that will support informed land use decision making, have created a number of very different land use analysis and agricultural production computer models. Such models should be increasingly useful in many parts of Latin America, where issues of sustainable land use are approaching critical dimensions. These include the need to maximize agricultural production while minimizing erosion, to use limited land areas in the most efficient manner, to reduce pollution pressure on the landscape, and to reduce deforestation—as well as optimize these goals. The models reviewed in this chapter are derived quite independently from one another and for very different purposes: ALES (Automated Land Evaluation System) is a computerized framework for allowing expert judgment to estimate crop and consequent economic production, and DSSAT (Decision Support System for Agrotechnology Transfer) is an explicit suite of models of crop plant production. The development of an agroecological modeling approach for land use planning in Costa Rica faced two major problems: a dispersed and not very accurate database and an official land use classification scheme that had little previous impact on decision making. There is an inherent social difficulty in applying even perfectly accurate models, especially where models show that a certain agricultural use might not be a good use for a particular land.
This paper references
GENCALC: Software to Facilitate the Use of Crop Models for Analyzing Field Experiments
L. A. Hunt (1993)
Soil water balance and plant water stress
J. Ritchie (1998)
Development of a simulation based land evaluation system using crop modelling, expert systems and risk analysis
A. Johnson (1991)
Beangro V1.01 dry bean crop growth simulation model: user`s guide
G. Hoogenboom (1991)
Simulating nitrogen dynamics in soils using a deterministic model
J. L. Hutson (1991)
Network management and information dissemination for agrotechnology transfer
G. Tsuji (1998)
Using Crop Simulation Models and GIS for Regional Productivity Analysis
H. Lal (1993)
GUMCAS: a model describing the growth of cassava (Manihot esculenta L. Crantz)
R. Matthews (1994)
The structure and function of DSSAT
J. Jones (1991)
A computer program to analyze single-season crop model outputs
P. Thornton (1994)
Decision support system for agrotechnology transfer: DSSAT v3
J. Jones (1998)
Modeling Growth, Development, and Yield of Grain Legumes using Soygro, Pnutgro, and Beangro: A Review
G. Hoogenboom (1992)
ALES: a framework for land evaluation using a microcomputer
D. Rossiter (1990)
BEANGRO: a process-oriented dry bean model with a versatile user interface
G. Hoogenboom (1994)
Towards the quantitative modeling of pedogenesis — a review
M. Hoosbeek (1992)
Land Evaluation: From Intuition to Quantification
C. A. Diepen (1991)
A comparison of qualitative and quantitative physical land evaluations, using an assessment of the potential for sugar‐beet growth in the European Community
H. Lanen (1992)
A mixed qualitative/quantitative physical land evaluation methodology.
H. Lanen (1992)
The IBSNAT project
G. Uehara (1993)
Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems
D. Godwin (1998)
Overview of IBSNAT
G. Uehara (1998)

This paper is referenced by
Semantic Scholar Logo Some data provided by SemanticScholar