In this paper we develop a dynamic data-consistent way for estimating agricultural land use choices at a disaggregate level (district-level), using more aggregate data (regional-level). The disaggregation procedure requires two steps. The first step consists in specifying and estimating a dynamic model of land use at the regionallevel. In the second step, we disaggregate outcomes of the aggrega...

The automatic inductive learning of production rules in a classiication environment is a diicult process which requires several considerations and techniques to be studied. This is more noticeable when the learning process is applied to real world domains. Our goal is to focus and study some of the most important problems related to the automatic learning of production rules as well as to provi...

The growing awareness on the multiple environmental impacts of livestock production has risen the necessity to widen the definition of efficiency to a multidimensional eco-efficiency concept. Our paper suggests a combined approach of a whole-farm agronomic model and frontier efficiency method to explore deeply the determinants of eco-efficiency. The whole-farm model used, GAMEDE, is randomly pa...

This paper discusses a planner-based approach to automating data production tasks, such as producing fire forecasts from satellite imagery and weather station data. Since the set of available data products is large, dynamic and mostly unknown, planning techniques developed for closed worlds are unsuitable. We discuss a number of techniques we have developed to cope with data production domains,...

This paper presents a graph-based backtracking algorithm designed to support constraintbased planning in data production domains. This algorithm performs backtracking at two nested levels: the outerbacktracking following the structure of the planning graph to select planner subgoals and actions to achieve them and the inner-backtracking inside a subproblem associated with a selected action to f...

Efficient use of assets in agriculture is a goal for policy-makers and farmers. Agricultural input resources are scarce therefore optimum use of inputs in different agricultural operations is important. Mathematical programming technique such as data envelopment analysis (DEA) is a well-known approach for estimation efficiency of agricultural DMUs. In this study, efficiency of kidney bean produ...

Objective: Generate a fishing regionalization activity in Mexico based on the economic criteria due to thevalue of fishery production.Design/Methodology/Approach: Socioeconomic data was taken as well analyzed from StatisticalYearbook Aquaculture and Fisheries fisheries Mexico. Subsequently, findings were organizedin database with geospatial referent reclassified into nominal or ordinal qualitat...

Agricultural economists rely on aggregated data at various levels depending on data availability and the econometric techniques employed. However, the implication of aggregation on economic relationships remains an open question. To examine the impact of aggregation on estimation, Monte Carlo techniques and data are employed on production practices. ADDITIONAL

This article considers a production system in which ‘‘m’’ identical machines produce nonidentical products at production rates. Products made by each machine are on the other hand consumed at a specific demand rate. Machines may be affected by unwanted breakdowns. Machines break down according to a Poisson distribution with equal rates and the failed machines are sent to maintenance center for ...

â understanding the flow behaviour in a gas well is crucial for future production strategies, obtaining bottomhole conditions from wellhead production data, analyzing production data and estimating reservoir properties. in this work, the pressure profile and flow regime are studied on four wells of a multi-well, multi-layer gas-condensate reservoir, producing at high rate. the wells are deviate...