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Applying remote sensing expertise to crop improvement: progress and challenges to scale up high throughput field phenotyping from research to industry
High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems
Detection of wine grape nutrient levels using visible and near infrared 1nm spectral resolution remote sensing
Multispectral and DSLR sensors for assessing crop stress in corn and cotton using fixed-wing unmanned air systems
Insect detection and nitrogen management for irrigated potatoes using remote sensing from small unmanned aircraft systems
Proposed tethered unmanned aerial system for the detection of pollution entering the Chesapeake Bay area