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A Framework for Single-Panicle Litchi Flower Counting by Regression with Multitask Learning

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摘要 The number of flowers is essential for evaluating the growth status of litchi trees and enables researchers to estimate flowering rates and conduct various phenotypic studies,particularly focusing on the information of individual panicles.However,manual counting remains the primary method for quantifying flowers,and there has been insufficient emphasis on the advancement of reliable deep learning methods for estimation and their integration into research.Furthermore,the current density map-based methods are susceptible to background interference.
出处 《Plant Phenomics》 SCIE EI CSCD 2024年第2期445-464,共20页 植物表型组学(英文)
基金 supported by the Guangdong Laboratory for Lingnan Modern Agriculture under Grants NZ2021040 and NT2021009 the China Agriculture Research System under Grant CARS-32 the Guangdong Provincial Modern Agricultural Industry Technology System under Grant 2021KJ123 the Discipline Construction Project of South China Agricultural University in 2023 under Grant 2023B10564002.
作者简介 Address correspondence to:Jun Li,autojunli@scau.edu.cn
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