Emerging Sensor Technology in Agriculture (MDPI - Multidisciplinary Digital Publishing Institute, 2020)
Keywords: 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