Image Processing in Agriculture and Forestry

• Egile nagusia: Gonzalo Pajares Martinsanz (Ed.) (auth)
• Beste egile batzuk: Francisco Rovira-Más (Ed.) (auth)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: MDPI - Multidisciplinary Digital Publishing Institute 2018
• Gaiak: Pharmaceutical technology; agriculture; image processing; vegetation index; aboreground biomass; machine-vision; autonomous navigation; computer vision; leaf area index; forestry; biophysical variables
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

Gaia

Image processing in agriculture and forestry represents a challenge towards the automation of tasks for better performances. Agronomists, computer and robotics engineers, and agricultural machinery industry manufacturers now have at their disposal a book containing a collection of methods, procedures, designs, and descriptions at the technological forefront, which serves as an important support and aid for the implementation and development of their own ideas. The book describes: (1) Applications (canopy on trees, aboveground biomass, phenotyping, chlorophyll, leaf area index, water and nutrient content, land cover change, soil properties, and secure autonomous navigation); (2) Imaging devices onboard robots, unmanned aerial vehicles (UAVs), and satellites operating at different spectral ranges (visible, infrared, hyper-multispectral bands, and radar), as well as guidelines for selecting machine vision systems in outdoor environments; and (3) (Specific computer vision methods (generic and convolutional neural networks, machine learning, specific segmentation approaches, vegetation indices, and three-dimensional (3D) reconstruction).

Deskribapen fisikoa

1 electronic resource (222 p.)

ISBN

books978-3-03897-098-9
9783038970972
9783038970989

Sartu

Open Access