Automation Of The Harvest
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Teses e Dissertações orientadas pela Embrapa instrumentação Agropecuária em 2003.
The Embrapa Agricultural Instrumentation Center, one of the thematic centers of the Brazilian Agricultural Research Corporation, is an institution of science and technology in instrumentation. Its purpose is to promote Brazilian agribusiness through the generation, adaptation, and transference of knowledge and technologies in instrumentation. Since its estab
São Carlos: Embrapa Instrumentação Agropecuária. Publicado em: 2011
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2. Utilização de perfis multi-temporais do NDVI/AVHRR no acompanhamento da safra de soja no oeste do Parana / Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in the west of Parana, Brazil
Crop yield forecasting systems are important sources of information for helping Governrnent and private institutions in agricultural trade matters. The traditional methods of crop yield forecasting norma1ly do not provide precise estimations, due to its subjectivity. The use of Geothecnology has been studied for the development of more efficient crop yield f
Publicado em: 2007
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3. AUTOMATIC HARVEST MACHINE OF CHRISTMASâS TREE / PROJETO E DESENVOLVIMENTO DE UMA MÃQUINA COLHEITADEIRA DE TUIA AUTOMATIZADA
The harvest of small trees known popularly as âChristmasâs Tree", is made with manual tools and it is a hard, stressing and slow job. Observing people, who develop these kinds of activities, is intend to study an automatic machine to carry through this task. This work presents initially, the description of the currently processes used for the harvest and a
Publicado em: 2005
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4. Aplicação de logica fuzzy para estimativa de area plantada da cultura de soja utilizando imagens AVHRR-NOAA / Application of fuzzy logic for soybean crop area estimation using AVHRR-NOAA images
An early accurate estimation of agricultural crop areas, such as soybean, is fundamental for the Brazilian economy. The draining forecast and the estimation of agricultural production commercialization are strategic to Brazil, since they are directly related to planning, costs and price. Recent technological progress of data acquisition from orbital remote s
Publicado em: 2005
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5. DeterminaÃÃo e remoÃÃo de erros em mapas de colheita de milho
The automation of the the monitorated harvest ends introducing systematic errors to the process, for this reason, a methodology of filtering of data became necessary for obtaining confident maps and it treats about the mean error factor, which is the delay time. The delay time is that spent between the cutting of the plant by the platformâs bar and the pass
Publicado em: 2005