Accueil du site EFITA Congresses>EFITA 2005>DSS and modelling: farm

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Perspectives of modelling the farmer' seed system for in situ conservation of sorghum varieties in Mali -- Didier Bazile, Christophe Le Page, Souleymane Dembele and Géraldine Abrami - (12-9-2005)

The current research is undertaken in the high-risk environment of poor farmers in Mali (West Africa) where agricultural biodiversity is crucial and people are always aiming at being more efficient in their use of the natural resource base. Hence, maximising the contribution of agricultural biodiversity to sustainable livelihoods involves strengthening human and social capital in ways that support the management of the natural capital, including plant genetic resources: interdisciplinary study has proven to be an invaluable tool. This research deals with the structure of society, the way the farmers act, where and how decisions are made to manage genetic resources. According to a scaling-up methodology and a systemic approach, data was gathered and processed in a suitable spatial framework. Then dynamic inputs such as farmers' strategies and social network interactions are modeled using multi-agent systems. The first finding from multi-agent simulation is to provide a common understanding of farmers' seed management. The participatory modelling process allows an increase in knowledge and procedural skills by learning from experience with farmers More...

 
Integrated Wheat N Nutrition Management in Morocco: A Decision Support Model -- F. Mosseddaq, S. Dnidane and M. Lahlou - (12-9-2005)

Our study is geared towards the development of a decision support model for integrated wheat N nutrition management (GIN - BLE).This guide provides access, on a daily basis, to general information on wheat crop and wheat N nutrition and fertilization. Three major steps marked the conception of this model: - Literature review on current knowledge on wheat growth, nutrition and fertilization and crop response to different sources of N; - Data base construction using Access; and - Programming using Visual Basic. Main features of GIN-BLE deal with factors considered to be the most influential in determining final yields and wheat N nutrition. Subroutines include: - Wheat phenology: Simulates phasic development as related to variety, environmental factors and crop management; - Biomass accumulation and partitioning: Simulates leaf area index, dry matter production during each phase of wheat development, and biomass partitioning among different organs; - Grain yield: Calculates wheat population stand, spike population per unit area, grains number per m², grain size and grain yield. - Water balance: Calculates soil water content. - Nitrogen balance: Provides orders of magnitude of N balance parameters. - N fertilization management: Provides wheat N fertilization recommendations. We assumed optimal conditions as a first step to limit variation factors and facilitate programming. GINBLE provides generalities on wheat crop, physiological features as well as a "Help" option that gives more details on subroutine conception and functioning. It allows rapid access to information on wheat growth and responses to N fertilizer in an interactive way. GIN-BLE test of performances allows comparison of simulated results to those observed in 5 irrigated field trials in Morocco. Validation revealed some very satisfactory results, strong correlations are observed between simulated and observed wheat development stages (r = 0.98; r = 0.97), yield components (r = 0.91; r = 0.92; r = 0.95) and dry matter production and partitioning (r = 0.90 to r = 0.96). More...

 
A simulation approach to evaluate supply policies of a pig slurry treatment plant by multiple farms -- François Guerrin and Jean-Michel Médoc - (12-9-2005)

This paper describes the use of a dynamical simulation model to evaluate various management policies in a two-stage production systems. Such a simulation-based evaluation is applied to the situation of Grand- Ilet (Reunion Island) where 51 pig farms must supply a collective treatment plant (CTP) with pig slurry. Based on actual data and stakeholders' preferences, three policies are tested: a planned policy with fixed delivery period and delivery size and two reactive policies with time-varying order points and replenishment levels: one based on farm stocks, the other based on the CTP stock. The reactive policy focused on farm stocks is judged most adapted to meet the management goals (no stock overflow, robustness) even with random disturbances. More...

 
A decision support system for post-emergence weed management in winter wheat -- A. Atri, E. Zand, M. Baghestani, J. khalghani and M.Partovi - (12-9-2005)
 
FarmN: A Decision Support Tool for Managing Nitrogen Flow at the Farm Level -- Margit S. Jørgensen, Nina K. Detlefsen and Nicholas J. Hutchings - (12-9-2005)

FarmN is a web-based, whole-farm model for nitrogen flow. In this paper a prototype internet-based advisory tool is presented, the aim of which is to assist farmers and environmental regulators to agree on the production and losses of N to the environment under current and future conditions on a particular farm. The system consists of an input part and a presentation part, and after users input, the presentation part can be consulted to view result in order to adjust input. To facilitate and minimize user input, the system contains functionalities to for example optimize crop rotations and to distribute manure More...

 
MetaForest - a web-based decision system to support forest management involving multiple-ownership -- Rui P. Ribeiro and José G. Borges - (12-9-2005)

In Portugal, small non-industrial private forest landowners (NIPF) hold about 78% of the forest area. Developing NIPF management plans is key for forest resources sustainability. Yet forest sustainability also requires landscape-level planning involving multiple-ownership. A web-based decision system (MetaForest) was developed to help integrate NIPF and landscape-level management objectives. Emphasis was on a system's architecture that might support both small holding forest management and integration across ownerships. This paper discusses briefly both computer science and institutional issues considered in the development of MetaForest. The former include procedures for planning of information systems and best practices and standards for software development. The latter address the human dimension of information systems, namely the characteristics of NIPF and the organizational framework of Forest Landowners Associations (FLA). This paper further presents the system prototype and its components - management information system, simulator, optimizer and web-based interfaces. Specifically, FLA and NIPF integration within the overall system is described. Preliminary results of its implementation to address forest management problems in an area extending over about 18 x 103 ha and with 146 holdings in Northern Portugal are discussed. More...

 
Decision Support Systems for Cereal Crop Disease Control -- Tagir Z. Ibragimov, Irina T. Ibragimova and Sergey S. Sanin - (12-9-2005)

Reported computer Decision Support Systems for Cereal Crop Disease Control. Basic elements the interface of the system, providing interactions of the user and the program are the Menu and Windows. The window "Data input" has treelike structure and is intended for input of the following commands: Administrative area, Culture, Condition of plants, Phytosanitary condition of crop, Agrotechnical situation, Weather conditions, and Economic conditions. The information entered by the user is displayed in a window "Your situation". The window "Forecast of phytosanitary conditions" displays predicted phytosanitary situation. The window "Recommendations" gives the user the following information for acceptance of administrative decisions. More...

 
A multi-objective DSS for cover crop management processing fuzzy expert knowledge -- Rainer M. Sodtke - (12-9-2005)

The author presents theory, methods and results of a knowledge-based decision support system for the agricultural practice and extension services. By the example of a multi-objective DSS supporting the selection and management of cover crop stands the methodical approach and results regarding DSS design, knowledge acquisition, knowledge representation, and DSS evaluation will be presented. Thus, the paper especially focuses on the integration of expert knowledge and modelling uncertainties by fuzzy inference technologies. Discussing the validity and limits of the DSS as well as options for DSS application or integration into other models will round off the presentation. More...

 
The Estimation of the Econometric Model of Milk Yield per Cow: A Support Vector Machine Regression Approach -- R. Põldaru and J. Roots - (12-9-2005)

In this paper we give an overview of the basic ideas underlying Support Vector (SV) machines for regression and function estimation. A summary of currently used algorithms for training SV machines will be presented. Application of SVM regression for estimating parameters of econometric model of milk yield per cow in Estonian farms will be considered and possibilities of application of SVM regression in rural areas are discussed. Studies on implementation of SVM regression methods (algorithms) and software packages in agricultural research and business must be extended. More...

 
"Haifa Nutri-Net" - a comprehensive crop Nutrition software, operated over the web -- Oded Achilea, Eyal Ronen and Gad Elharrar - (12-9-2005)

'Haifa Nutri-Net' is a powerful tool made to assist growers to formulate their crop nutrition programs and irrigation schemes by integrating virtually all relevant cultivation parameters. This expert software is based on comprehensive databases of crop nutrition, irrigation, soil and climate, covering almost every growth environment. The input stages prompt the user to enter his own data or to capture relevant data from databases available within the program. All these data are then integrated by the software into a detailed optimized crop nutrition program. The more detailed and accurate the input provided, the better it addresses the specific conditions of the grower, and consequently, higher productivity and profitability can be expected. This software is operated exclusively over the web. 'Haifa Nutri-Net' generates a detailed nutrigation (= fertigation) program in accordance with the following parameters: ?? Crop-specific nutrition functions of 80 common crops at their typical yield levels. ?? Growth methods ?? Soil & water parameters ?? Climate conditions ?? Irrigation method and schedule While building the nutrition scheme a wide variety of fertilizers is suggested for the different applications. It is formulated in stages, consistent with the irrigation method, and made by the user's preferences based on pre-planting application and/or side/top dressing and/or nutrigation and supplementary foliar feeding. When the nutrition scheme is based on nutrigation, the application program is further broken down into fertilizer rates, growth phases and days. The final scheme can be sent directly from the software as an attachment by e-mail, or printed out and faxed. The comprehensive databases included in the software can independently serve the user by citing references on nutrient uptake of a variety of crops, supplying a wealth of data characterizing the phenological stages of the crop and Etp (=evapo-transpiration) data, and photos of nutrient deficiency symptoms in many crops. Haifa Nutri-Net supports the most common units of mass and area. English and Spanish interfaces are available. More...

 
Decision Support System for Farm Mechanization -- Suárez de Cepeda, M., Recio, B., Rubio, F. - (12-9-2005)

This paper describes a Decision Support System about farm mechanization with the use of GIS. The methodology consists of using a model of whole linear programming of machinery selection and planning that costs minimizes of farm mechanization. With the aim of avoiding absurd solutions the system carries out a study of the matching implementtractor by means of the stability, slip and energy analysis. The DSS includes the natural factors (climate and soil conditions), plot geographic site (cadastre) and the crop and machinery data. Crop surface and farm machinery information is introduced intro the system. A GIS is part of the system to carry out a spatial analysis of the farm results and be able to make machinery grouping. To execute the system a PC, the Agrisupport System programmed in C++ with Microsoft Foundation Classes 4.2 (MFC) is necessary. The data bases using Microsoft Access have implemented by means of Data Objects Access. Optimization is possible by means of an external product called CPLEX (software of iLog). El DSS is applicable for identification farm action, farm machinery selection, cultivation planning and to carry out machinery cooperative. More...

 


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