Definição de zonas de manejo em lavouras agrícolas a partir de mapas de produtividade: estudo de caso

• Ano de defesa: 2014
• Autor(a) principal: Barato, Márcio Adair
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/26339/001300000mptn
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Tecnologia em Agricultura de Precisão; UFSM; Programa de Pós-Graduação em Agricultura de Precisão
• Palavras-chave em Português: Agricultura de precisão; Mapa de produtividade; Sensor de massa; Sensor de umidade; Precision agriculture; Yield map (or productivity map ); Mass sensor; Moisture sensor; CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
• Link de acesso: http://repositorio.ufsm.br/handle/1/4814

Based on productivity maps and data analysis it is possible for the producer to check and act over the low yielding areas, maximizing the final productivity that way. This paper intents to show the importance of the usage of precision agriculture maps on farms in order to help farmers to determine low yielding areas and act over it, improving productivity. This paper and the generated maps referred during the text were made using John Deere equipment and AMS (Agricultural Management Solutions). The studied area is a 19ha (190.000m²) total area, located at Faxinal, Paraná state. Five maps were analyzed totaling a 3 years range period of samples that were used later for interpolation. The interpolations and adjustments done were made using Apex® and CR Campeiro® software. The output of this interpolation is a single map that shows some tendencies for some areas to present low, medium and high yield. Those regions represent 5,95%, 86,25% and 7,80% respectively. This map is a base for the final analysis that will provide information to develop and increase productivity in low yielding areas.