991 resultados para AGRICULTURAL PLANNING


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Includes bibliography

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Includes bibliography

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Informa sobre la reunion que tuvo por objetivo la formulacion de estrategias de desarrollo para el sector agricola en la region.

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Describe la organización, metas y objetivos del proceso de planificación para el desarrollo de la agricultura en Barbados.

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Objectives and study method: The objective of this study is to develop exact algorithms that can be used as management tools for the agricultural production planning and to obtain exact solutions for two of the most well known twodimensional packing problems: the strip packing problem and the bin packing problem. For the agricultural production planning problem we propose a new hierarchical scheme of three stages to improve the current agricultural practices. The objective of the first stage is to delineate rectangular and homogeneous management zones into the farmer’s plots considering the physical and chemical soil properties. This is an important task because the soil properties directly affect the agricultural production planning. The methodology for this stage is based on a new method called “Positions and Covering” that first generates all the possible positions in which the plot can be delineated. Then, we use a mathematical model of linear programming to obtain the optimal physical and chemical management zone delineation of the plot. In the second stage the objective is to determine the optimal crop pattern that maximizes the farmer’s profit taken into account the previous management zones delineation. In this case, the crop pattern is affected by both management zones delineation, physical and chemical. A mixed integer linear programming is used to solve this stage. The objective of the last stage is to determine in real-time the amount of water to irrigate in each crop. This stage takes as input the solution of the crop planning stage, the atmospheric conditions (temperature, radiation, etc.), the humidity level in plots, and the physical management zones of plots, just to name a few. This procedure is made in real-time during each irrigation period. A linear programming is used to solve this problem. A breakthrough happen when we realize that we could propose some adaptations of the P&C methodology to obtain optimal solutions for the two-dimensional packing problem and the strip packing. We empirically show that our methodologies are efficient on instances based on real data for both problems: agricultural and two-dimensional packing problems. Contributions and conclusions: The exact algorithms showed in this study can be used in the making-decision support for agricultural planning and twodimensional packing problems. For the agricultural planning problem, we show that the implementation of the new hierarchical approach can improve the farmer profit between 5.27% until 8.21% through the optimization of the natural resources. An important characteristic of this problem is that the soil properties (physical and chemical) and the real-time factors (climate, humidity level, evapotranspiration, etc.) are incorporated. With respect to the two-dimensional packing problems, one of the main contributions of this study is the fact that we have demonstrate that many of the best solutions founded in literature by others approaches (heuristics approaches) are the optimal solutions. This is very important because some of these solutions were up to now not guarantee to be the optimal solutions.

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L’étalement urbain constitue un enjeu de société qui préoccupe tous les acteurs de l’aménagement du territoire. Le développement de superficies urbanisées à la périphérie des villes à des fins résidentielle, industrielle, commerciale et d’infrastructures se caractérise par une faible densité des structures bâties et par une perte de terres agricoles. Les conséquences sont importantes notamment parce que ces pertes sont irréversibles. Ce projet de recherche analyse les tendances actuelles de l’étalement urbain dans la RMR de Montréal et au-delà de celle-ci ainsi que ses impacts sur les territoires agricoles. Il comporte trois objectifs secondaires. Le premier objectif vise à analyser l’importance de la multifonctionnalité de l’agriculture et sa prise en compte dans les stratégies d’aménagement et de revitalisation agricole dans les MRC. Le deuxième objectif vise à établir les liens entre ces stratégies et les pressions urbaines dans la région métropolitaine de Montréal. Les pressions urbaines des 88 municipalités sont analysées en fonction de l’augmentation de la population et des ménages, par le nombre de mises en chantier ainsi que par les demandes de modification de la zone agricole déposées par les municipalités auprès de la CPTAQ entre 2000 et 2009. Le dernier objectif vise à identifier les MRC qui ont développé ces stratégies dans leur schéma d’aménagement et de développement (SAD), pour ensuite comparer les intentions et les actions des MRC par rapport à l’étalement urbain qui se développe concrètement sur leur territoire depuis l’an 2000. Pour ce faire, deux critères ont été retenus : une typologie des stratégies d’aménagement et de revitalisation agricole des SAD et les positions adoptées par les acteurs impliqués dans les demandes de modification. En conclusion, les cinq MRC analysées en détail ont demandé entre 2,1 % et 2,6 % de leur propre zone agricole au cours des dix dernières années, peu importe l’élaboration de leur SAD et les pressions urbaines qu’elles subissent.

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Usually, under rainfed conditions the growing period exists in the humid months. Hence, for agricultural planning knowledge about the variabilities of the duration of the humid seasons are very much needed. The crucial problem affecting agriculture is the persistency in receiving a specific amount of rainfall during a short period. Agricultural operations and decision making are highly dependent on the probability of receiving given amounts of rainfall; such periods should match the water requirements of different phenological phases of the crops. While prolonged dry periods during sensitive phases are detrimental to their growth and lower the yields, excess of rainfall causes soil erosion and loss of soil nutrients. These factors point to the importance of evaluation of wet and dry spells. In this study the weekly rainfall data have been analysed to estimate the probability of wet and dry periods at all selected stations of each agroclimatic zone and the crop growth potentials of the growing seasons have been analysed. The thesis consists of six Chapters.

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One of needs of modern agriculture is the prediction of spatial variability of soil properties at more detailed scales for sustainable management and optimization of management practices. The mathematical model associated with knowledge of variability of soil attributes and mapping of relief forms has helped in agricultural planning. In this regard the aim of this study was to characterize the spatial variability of physical and chemical properties of Oxisols and Ultisols using numerical classification and the digital elevation model. Two distinct landforms: convex for the Oxisol (158 ha) and linear for the Ultisol (172 ha). 53 samples from the Oxisol and 57 samples from the Ultisol were taken. Multivariate analysis of clusters of attributes studied from their euclidean distances was performed. This analysis by dendograms along with digital elevation models for different soils characterized was more homogeneous in Ultisol groups, and less homogeneous for the Oxisol in convex landform. These quantitative methods showed that the landforms conditioned the spatial pattern of soil attributes.

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The objective was the study of better areas for sugar cane exploitation, using variables related to the classes and exposition of slopes, edaphic and climatic variables. Data were analysed with the aid of a Geographic Information System supported by 8 bit microcomputer, and maps of North exposition, photosynthetically the most efficient, were produced for different gradients of slope. These maps combined with traditional maps can be a very helpful tool to planners. -from English summary

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The obtaining of the correct space distribution for attributes of the soil is relevant in the agricultural planning, in what concerns to the installation and maintenance of the cultures. The objective of that work was to compare statistical interpolation methods (ordinary krigagem) and deterministic methods (inverse square distance) in the estimate of CTC and V% in a distrophic yellow-red Latossolo. The study was accomplished in the State of Experimental Hands on of the Instituto Capixaba de Pesquisa, Assistência Técnica e Extensão Rural (INCAPER), in an irregular grading with 109 points. The data were collected in the layer of 0 - 0,20 m in the projection of the cup of the plants, in the superior part of the slope. The performance of the interpolators was obtained and compared using the criterion of the medium mistake. The observations are dependent in space until a maximum reach of 14,1 m, considering the isotropy. IDW presented larger mistake in the estimate of the data; however its difference in relation to KRIG was small for both variables.

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Sugarcane is one of the most important crops of the Brazilian agribusiness and this importance justifies the use of techniques that allow the implementation of cultivation systems capable of reducing the variability of soil characteristics and the establishment of efficient agricultural planning. The aim of the present work was the planning and implementation of cultivation systems for sugarcane using geostatistical techniques, in the Pereira Barreto region, SP. An area of 505 ha was mapped using the global positioning system (GPS) and a Digital Elevation Model was elaborated (MDE). Soil samples were collected for 0-0.25 m depth, in each 7 ha, for their chemical attributes and texture characterization. Data were analyzed by descriptive statistics and geostatistics. The determination of the spatial distribution of soil granulometric and chemical attributes allowed the allocation of the studied sugarcane varieties according to soil fertility and clay content. The kriging maps of soil granulometric and chemical attributes brought useful information to the establishment of production environments with different soil and crop managements. The identification of different environments by means of geostatistical techniques allowed the precise planning of the sugarcane cultivation, as well as the adequacy of fertilization practices and the allocation of suitable sugarcane varieties adapted to the conditions imposed by differences in the soil attributes.

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)