A5101960086- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Spectroscopy and Chemometric Analyses
- CCD and CMOS Imaging Sensors
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Optical measurement and interference techniques
- Leaf Properties and Growth Measurement
- Advanced optical system design
University of Florida
2023-2024
Predicting soil water status remotely is appealing due to its low cost and large-scale application. During drought, plants can disconnect from the soil, causing disequilibrium between plant potentials at pre-dawn. The impact of this on drought response recovery not well understood, potentially complicating predictions spectral reflectance. This study aimed quantify drought-induced disequilibrium, evaluate responses recovery, determine potential for predicting Two species were tested: sweet...
Hyper-spectral imaging has recently gained increasing attention for use in different applications, including agricultural investigation, ground tracking, remote sensing and many other. However, the high cost, large physical size complicated operation process stop hyperspectral cameras from being employed various applications research fields. In this paper, we introduce a cost-efficient, compact easy to active illumination camera that may benefit applications. We developed fully functional...
Abstract Collecting and analyzing hyperspectral imagery (HSI) of plant roots over time can enhance our understanding their function, responses to environmental factors, turnover, relationship with the rhizosphere. Current belowground red-green-blue (RGB) root imaging studies infer such functions from physical properties like length, volume, surface area. HSI provides a more complete spectral perspective plants by capturing high-resolution signature parts, which have extended beyond include...