Emerging Sensor Technology in Agriculture

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: 3D crop modeling; acceleration sensor; adaptive thresholding; airflow field test; animal detection; apple orchards; artificial intelligence; artificial neural networks; bunch area; bunch volume; bushfires; capacitor sensor; CFD; Citrus sinensis L. Osbeck; cluster morphology; cocoa beans; colour thresholding; computer vision; crop growth; deep learning; deposit mass; depth images; Earth Sciences, Geography, Environment, Planning; ethylene gas detection; formulations; fruit detection; fruit ripeness; Gaussian processes; Geography; guar; image analysis; image processing; image segmentation; infrared; infrared thermography; ionization; Kinect sensor; leaf area index; logistic regression; machine learning; mechanical harvesting; mesh; modeling and simulation; monitoring method; n/a; near-infrared spectroscopy; non-invasive sensing technologies; on-ground sensing; parameter acquisition; parameter tuning; partial least square; pesticide droplets; phenomics; phenotype; phenotyping; pigeon pea; point cloud; pose estimation; precision livestock; precision viticulture; proximal sensing; Reference, Information and Interdisciplinary subjects; remote sensing; Research and information: general; RGB; RGB-D; smoke taint; soybean; spectral sensor; stress; support vector machine; surface reconstruction; tepary bean; Triticum aestivum; unmanned aerial vehicles; vibration time; VitiCanopy app; volatile compounds; water deficit
• ISBN: 9783039436132; 3039436147; 3039436139; 9783039436149
• DOI: 10.3390/books978-3-03943-614-9

Digital agriculture is gaining traction among scientists implementing different new and emerging sensor technologies to monitor complex soil–plant–atmosphere interactions in an accurate, cost-effective and user-friendly manner. This book presents some of the latest advances in this emerging area of research. The diversity of applications in which digital agriculture can make an important difference in day-to-day farming decision making makes this discipline an important focus of research internationally.