Desenvolvimento e validação de sistema eletrônico de aquisição de imagens aéreas para detecção de falhas de estabelecimento de estande na cultura da cana-de-açúcar

• Ano de defesa: 2019
• Autor(a) principal: Sassaki, Mario Hideo
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Tecnologia em Agricultura de Precisão; UFSM; Programa de Pós-Graduação em Agricultura de Precisão; Colégio Politécnico da UFSM
• Palavras-chave em Português: Falhas em cana-de-açúcar; Fotogrametria digital; Agricultura de precisão; Gaps in sugar cane; Digital photogrammetry; Precision agriculture; CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
• Link de acesso: http://repositorio.ufsm.br/handle/1/20656

The intensity and size of sugar cane gaps tend to increase along each cut, thus reducing crop productivity, making failures analysis an important parameter to aid in the sugarcane reforestation decision. The use of remote sensing techniques along with aero photogrammetry can aid in the calculation of cane failures from high spatial resolution images. The objective of this work was the construction of an electronic system for planning and execution of aerial image collection by agricultural airplane and the development of an application procedure of Geographic Information System (GIS) for detection of lines and gaps from the georeferenced mosaic of images. The proposed electronic system had as main components two controllers ATmega328p, a GNSS receiver, buttons, LCD display and connector for shooting cable of the digital camera. In order to evaluate the functionality of the electronic system, flights were carried out to image a farm in the state of Goiás, using the developed system embarked on an Ipanema agricultural airplane. In addition to the imaging performed by this system, aerial images were acquired with a remotely piloted aircraft (RPA) and the field measurements were performed manually by Stolf method. The results showed that it was possible to collect aerial images through the electronic system boarded in an agricultural airplane and that the use of these aerial images can contribute to estimate the number of failures in the culture of sugarcane through GIS and processing platforms digital image.