Applications of Remote Image Capture System in Agriculture

• अन्य लेखक: Molina Martínez, José Miguel (संपादक), García-Mateos, Ginés (संपादक)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• विषय: History of engineering & technology; SVM; budding rate; UAV; geometric consistency; radiometric consistency; point clouds; ICP; reflectance maps; vegetation indices; Parrot Sequoia; artificial intelligence; precision agriculture; agricultural robot; optimization algorithm; online operation; segmentation; coffee leaf rust; machine learning; deep learning; remote sensing; Fourth Industrial Revolution; Agriculture 4.0; failure strain; sandstone; digital image correlation; Hill-Tsai failure criterion; finite element method; reference evapotranspiration; moisture sensors; machine learning regression; frequency-domain reflectometry; randomizable filtered classifier; convolutional neural network; U-Net; land use; banana plantation; Panama TR4; aerial photography; remote images; systematic mapping study; agriculture; applications; total leaf area; mixed pixels; Cabernet Sauvignon; NDVI; Normalized Difference Vegetation Index; precision viticulture; 3D model; spatial vision; fertirrigation; teaching-learning; spectrometry; Sentinel-2; pasture quality index; normalized difference vegetation index; normalized difference water index; supplementation; decision making; digital agriculture; grape yield estimate; berries counting; Dilated CNN; machine learning algorithms; classification performance; winter wheat mapping; large-scale; water stress; Prunus avium L.; stem water potential; low-cost thermography; thermal indexes; canopy temperature; non-water-stressed baselines; non-transpiration baseline; soil moisture; andosols; image processing; greenhouse; automatic tomato harvesting; n/a
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.

भौतिक वर्णन

1 electronic resource (310 p.)

आईएसबीएन

books978-3-03943-806-8
9783039438051
9783039438068

अभिगमन

Open Access