Predicting Zea mays Flowering Time, Yield, and Kernel Dimensions by Analyzing Aerial Images.

ABSTRACT: Image analysis methods for measuring crop phenotypes may replace traditional measurements if they more efficiently and reliably capture similar or superior information. This study used a recreational-grade unmanned aerial vehicle carrying a spectrally-modified consumer-grade camera to collect images in which each pixel value is a vegetation index based on the normalized difference between the blue and near infrared wavelength bands (BNDVI). The subjects of the study were Zea mays hybrids with good yield potential grown in 4-row plots. Flights were conducted at least once per week during three successive growing seasons in south-central Wisconsin. Average BNDVI for each plot (genotype) rose steadily through June, peaked in July, and then declined as plants matured. BNDVI histograms c

SUBMITTER: Wu G 

PROVIDER: S-EPMC6797588 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature