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Author: Dworak, Volker × Author: Hoffmann, Matthias × WGL Institute: ATB ×

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    Strategy for the development of a smart NDVI camera system for outdoor plant detection and agricultural embedded systems
    (Basel : MDPI, 2013) Dworak, Volker; Selbeck, Joern; Dammer, Karl-Heinz; Hoffmann, Matthias; Zarezadeh, Ali Akbar; Bobda, Christophe
    The application of (smart) cameras for process control, mapping, and advanced imaging in agriculture has become an element of precision farming that facilitates the conservation of fertilizer, pesticides, and machine time. This technique additionally reduces the amount of energy required in terms of fuel. Although research activities have increased in this field, high camera prices reflect low adaptation to applications in all fields of agriculture. Smart, low-cost cameras adapted for agricultural applications can overcome this drawback. The normalized difference vegetation index (NDVI) for each image pixel is an applicable algorithm to discriminate plant information from the soil background enabled by a large difference in the reflectance between the near infrared (NIR) and the red channel optical frequency band. Two aligned charge coupled device (CCD) chips for the red and NIR channel are typically used, but they are expensive because of the precise optical alignment required. Therefore, much attention has been given to the development of alternative camera designs. In this study, the advantage of a smart one-chip camera design with NDVI image performance is demonstrated in terms of low cost and simplified design. The required assembly and pixel modifications are described, and new algorithms for establishing an enhanced NDVI image quality for data processing are discussed.
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    Vegetationserkennung für landwirtschaftliche Anwendungen mithilfe einer Ein-Chip-Kamera
    (Darmstadt : KTBL, 2014) Selbeck, Jörn; Dworak, Volker; Hoffmann, Matthias; Dammer, Karl-Heinz
    Durch die Anwendung von Kameras bei der Prozesskontrolle in der Präzisionslandwirtschaft können Dünger, Pestizide, Maschinenzeit und Treibstoff eingespart werden. Trotz der hohen Forschungsaktivitäten auf diesem Gebiet verhindern hohe Preise für geeignete Kamerasysteme die Anwendung in allen Bereichen der Landwirtschaft. Intelligente und kostengünstige Kameras, die für landwirtschaftliche Anwendungen angepasst werden, können diesen Nachteil überwinden. Der normalisierte differenzierte Vegetationsindex (NDVI) ist ein Algorithmus in der Bildanalyse zur Trennung von Pflanze und Boden (Hintergrund) und wird in der hier vorgestellten Untersuchung bei einer kostengünstigen Ein-Chip-Kamera implementiert und angepasst.