An allelic based phenological model to predict phasic development of wheat (Triticum aestivum L.)
Sign Up to like & getrecommendations! Published in 2020 at "Field Crops Research"
DOI: 10.1016/j.fcr.2020.107722
Abstract: Abstract We developed a photoperiod-corrected thermal model that can predict wheat phenology based solely on the combination of photoperiod (Ppd) and vernalisation (Vrn) alleles to identify the phenological suitability of germplasm across the cropping region… read more here.
Keywords: based phenological; model predict; wheat; allelic based ... See more keywords
Assessment of Spartina Alterniflora Management Effectiveness in Shandong Province Based on Phenological Features and Deep Learning Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3618846
Abstract: The invasive grass Spartina alterniflora (S. alterniflora) poses a significant threat to the coastal ecosystems of Shandong Province, prompting a large-scale eradication project initiated in 2021. Effective management requires precise, large-scale monitoring, for which remote… read more here.
Keywords: deep learning; learning models; shandong province; spartina alterniflora ... See more keywords