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GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery.

, , , , and . Remote. Sens., 14 (17): 4140 (2022)

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GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery., , , , and . Remote. Sens., 14 (17): 4140 (2022)Smartphone-based hierarchical crowdsourcing for weed identification., , , and . Comput. Electron. Agric., (2015)Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery., , , and . Remote. Sens., 13 (24): 5182 (2021)A Robust Algorithm for Passive Reduced-Order Macromodeling of MTLs With FD-PUL Parameters Using Integrated Congruence Transform., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 27 (3): 574-578 (2008)Fast Passivity Verification and Enforcement via Reciprocal Systems for Interconnects With Large Order Macromodels., , and . IEEE Trans. Very Large Scale Integr. Syst., 15 (1): 48-59 (2007)Identification of Foliar Disease Regions on Corn Leaves Using SLIC Segmentation and Deep Learning Under Uniform Background and Field Conditions., , and . IEEE Access, (2022)Development and evaluation of targeted marginal land mapping approach in SWAT model for simulating water quality impacts of selected second generation biofeedstock., and . Environ. Model. Softw., (2016)Projection Based Fast Passive Compact Macromodeling of High-Speed VLSI Circuits and Interconnects., , and . VLSI Design, page 629-633. IEEE Computer Society, (2005)Circuit Compatible Macromodeling of High-Speed VLSI Modules Characterized by Scattering Parameters., , and . VLSI Design, page 667-671. IEEE Computer Society, (2006)Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems., , , , and . Comput. Electron. Agric., (2021)