Here, a UAVbased hyperspectral solution for mapping crop physiological parameters was explored within a machine learning framework. To do this, a
range of complementary measurements were collected from a fieldbased
phenotyping experiment, based on a diversity panel of wild tomato (Solanum
pimpinellifolium) that were grown under fresh and saline conditions. From the UAV data, positionally accurate reflectance retrievals were produced using a computationally robust automated georectification and mosaicking
methodology. The resulting multitemporal UAV data were then employed to
retrieve leafchlorophyll (Chl) dynamics via a machine learning framework.

Several approaches were evaluated to identify the bestperforming regression supervised methods. An investigation of two learning strategies (i.e., sequential and retraining) and the value of using spectral bands and vegetation indices (VIs) as prediction features was also performed. Finally, the utility of UAVbased hyperspectral phenotyping was demonstrated by detecting the effects of salt stress on the different tomato accessions by estimating the saltinduced senescence index from the retrieved Chl dynamics, facilitating the identification of salttolerant candidates for future investigations.

This research illustrates the potential of UAVbased hyperspectral imaging for plant phenotyping and precision agriculture. In particular, a) developing
systematic imaging calibration and preprocessing workflows; b) exploring
machine learningdriven tools for retrieving plant phenological dynamics; c)
establishing a plant stress detection approach from hyperspectralderived
metrics; and d) providing new insights into using computer vision, bigdata
analytics, and modeling strategies to deal effectively with the complexity of the UAVbased hyperspectral data in mapping plant physiological indicators.

Welcome to leave us your comments/question

Keep updated with more publications, research, and news about remote sensing, Land observation, plant monitoring, datadriven, and digital agriculture:

Twitter: @yoselineangel @Prof_MFMcCabe
  / yoselineangel  

You can find the full list of publications in the link below:

https://scholar.google.com/citations?...