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Sai Xu, Huazhong Lu, Xu Wang, Christopher M. Ference, Xin Liang, and Guangjun Qiu

suitable for spot checking, and cannot meet the need for flavor detection for an entire harvest of fruit from an orchard. An intelligent method—machine vision technology ( Gongal et al., 2018 ; Naik and Patel, 2017 )—has been applied in the field of fruit

Open access

Sai Xu, Huazhong Lu, and Xiuxiu Sun

requirements of the progressing litchi industry. Even though machine vision ( Xiong et al., 2011 ) and spectrum technologies ( Xiong et al., 2018 ) have allowed intelligent and fast detection of many agricultural products, they are unsuitable for stored litchi

Open access

Lloyd L. Nackley, Brent Warneke, Lauren Fessler, Jay W. Pscheidt, David Lockwood, Wesley C. Wright, Xiaocun Sun, and Amy Fulcher

retrofitted with an intelligent spray system developed by the U.S. Department of Agriculture, which enables a variable-rate spray mode ( Chen et al., 2012 ). The technology includes a high-speed scanning light detection and ranging (LiDAR) sensor (UTM-30LX

Free access

Hamidou F. Sakhanokho and Nurul Islam-Faridi

verified by dot-blotting. Briefly, dot blot detection of the labeled probe was performed as follows. The labeled probe (1.5 μL) was spotted on a nitrocellulose strip (H-bond membrane; Amersham, Piscataway, NJ), which was dried at 80 °C for 20 min

Open access

Noah J. Langenfeld and Bruce Bugbee

. Wei, Q. 2019 Review of dissolved oxygen detection technology: From laboratory analysis to online intelligent detection Sensors (Basel) 19 3995 4033 Wen, Z. Zhong, J. 1995 A simple and modified manometric method for measuring oxygen uptake

Free access

Xiao-li Li and Yong He

, P. Mao, H. Chen, B. Ding, Y. 2006 Spectral reflectance-based detection of nitrogen content in fresh tea leaves Proc. of SPIE. 6411 64110G1 64110G8 Ishikawa, D. Etsuji, I. Sekioka

Free access

Julie M. Tarara, Bernardo Chaves, Luis A. Sanchez, and Nick K. Dokoozlian

models of Δ T are influenced most by the responsiveness of the load-bearing wire to changes in plant mass. Post-processing of the raw data renders the detection system relatively insensitive to environmental transients ( Tarara et al., 2004 ). For

Free access

Carl E. Sams, Dilip R. Panthee, Craig S. Charron, Dean A. Kopsell, and Joshua S. Yuan

, and integrated using ChemStation Software (Agilent Technologies). Peak assignment for individual pigments was performed by comparing retention times and line spectra obtained from photodiode array detection using commercially available external