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B.R. Eastwood

157 Colloquium 3 (Abstr. 714–723) Implementing HortBase: Horticulture Global Information System for Decision Support

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H.C. Passam, A.B. Sideridis, and C.P. Yialouris

Vegetable production in low-technology (low-tech) plastic-covered greenhouses depends on low investment and cheap production methods that prohibit the adoption of expensive technologies. Nevertheless, advanced technology can be developed for this low-tech situation provided that a personal computer (PC) is available and the software is of low cost and specially designed to function without the need for additional expensive hardware. This will encourage the adoption of computer technology in an industry where computer illiteracy is still high. In the present paper, a decision support system for irrigation and fertilizer management of tomatoes [Lycopersicon esculentum (L.) Mill.] is described. The system is comprised of two modules: 1) an irrigation-fertilization consultation module for the management of water and fertilizer supply and 2) a diagnostic expert system module for the identification and rectification of nutritional disorders. Irrigation requirements are defined on the basis of daily evaporimeter readings. Fertilizer schedules are derived from the literature, but modified on the basis of experience gained during previous cultivations. The urgent need for such a management system is indicated by the relatively low quality of vegetable produce currently grown in low-tech greenhouses and the waste of precious water and fertilizer due to over-application by growers, with concomitant damage to the environment. During tests, irrigation was reduced by as much as 30% in comparison with empirical methods. To enable more widespread assessment and to increase its range of application, the software of this system is offered free of charge for evaluation by interested users.

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Hector German Rodriguez, Jennie Popp, Curt Rom, Heather Friedrich, and Jason McAfee

production ( Rom et al., 2007 ). In response to these challenges, an apple interactive economic decision support tool (AIEDST) was developed to assist producers in making informed decisions regarding organic apple production in the southern United States. The

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John E. Ikerd

Farming operations must be environmentally sound and economically viable if they are to be sustainable over time. Thus, farmers of the future must balance environmental and economic concerns in making management decisions. An integrated farm decision support system, PLANETOR, has been developed to help farmers balance soil loss, water-quality risks, production efficiency, and profitability in the farm planning process.

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Ali Loker and Sam E. Wortman

aggregate and synthesize vegetable variety trial data from around the world, explore descriptive and explanatory trends, and present a synthesis of trial results in a user-friendly online decision-support tool. Our specific objectives were to conduct a

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Jean-Pierre Goffart, Marguerite Olivier, and Marc Frankinet

supplemental N is as follows ( Olivier et al., 2006 ): Fig. 1. Steps in the Walloon Agricultural Research Center (Gembloux, Belgium) decision support system for managing the nitrogen fertilization of a potato crop at field scale. where HNT 70 is the CM reading

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J.L. Green, D. Hannaway, J. Matylonek, A. Duncan, E. Liss, and K.J. Starr

157 Colloquium 3 (Abstr. 714–723) Implementing HortBase: Horticulture Global Information System for Decision Support

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R.E. Gomez

157 Colloquium 3 (Abstr. 714–723) Implementing HortBase: Horticulture Global Information System for Decision Support

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Laurent Gauthier and Thierry Néel

A software system (SAGE) was built for on-farm decision support. The objective was to provide a framework for constructing and deploying knowledge-based decision support in the areas of integrated pest management, fertilization, and field operations. The framework is open by design and includes a generic model of an agro-ecosystem as well as various mechanisms allowing for the continued growth in scope and function of the software. The SAGE system is designed to provide a number of building blocks and predefined decision-support strategies that can be adapted to specific needs and situations. It operates on a personal computer and is based on the use of an objectoriented technology for software construction and operation. A prototype of the system has been built and is being used to build commodity-specific decision-support modules.

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Matthew K. Rogoyski and A. Richard Renquist

A decision support system has been developed to help Colorado fruit growers with apple (Malus domestica Borkh.) thinning. This system can also be used as a teaching aid and as a tool for generating research hypotheses. The system determines if fruit thinning is needed by identifying catastrophic events that would eliminate the need for thinning. The major function of this decision support system is determination of tree responsiveness to chemical thinning agents. This is accomplished through analysis of the user's answers to questions related to the physiological status of the trees, environmental data, bearing history, and the apple variety in question. On the basis of the above analysis, two sets of recommendations are presented: general recommendations based on the variety selected, and specific ones for that variety based on growth stage and tree responsiveness to thinners. The user also is provided with the rationale for the recommendations.