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      Precision Agriculture: Studies of a favorable technology, in a raised of improvements in the quality of the techniques used in the field by José Paulo Molin

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          Abstract

          The use of new technologies in the field is increasingly present studies on the specific sensor applications, in the use of georeferencing with yield maps. The aim of this paper is to present to the scientific community a categorization in the production of scientific papers of the last ten years of the Professor Dr. José Paulo Molin, related to Precision Agriculture, through a search on his Lattes Curriculum, in his academic research and contributions in the area around Agricultural Engineering in Brazil. As discussion and results presented to a bibliographic review of Molin work, quantified in tables and figures, and the approach of the analyzed articles. It is evident the studies of the behavior of optical sensors to generate yield maps, with the use of embedded electronic technologies, and interventions in the soil in no-tillage to crops such as cotton, corn and sugar cane. It concludes with a review of Molin, his contributions and assistance to researchers in the academic field, with the verification of the spatial and temporal variability of quality and productivity in the field, and the aid to fertilizer recommendation, especially to nitrogen. It was verified positively the correct distribution of nutrients in the field with the work of yield maps.

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          Author and article information

          Journal
          Revista Eletrônica Competências Digitais para Agricultura Familiar
          Universidade Estadual Paulista Júlio de Mesquita Filho
          01 November 2016
          : 2
          : 1
          : 53-71
          Affiliations
          [1 ] Centro Estadual de Educação Tecnológica Paula Souza
          Article
          a06f135abc604bb49be280bbea682322
          b9db0d11-d611-4bff-8000-d19e17c9c480

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          History
          Categories
          Agriculture (General)
          S1-972

          Applied computer science,Agricultural engineering,Agricultural economics & Resource management,Information & Library science,Environmental engineering
          Sensor óptico,Georreferenciamento,Tecnologias.,Agricultura de Precisão,Mapas de produtividade

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