TPDNet: Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields [0.03%]
基于单目图像的田间瓜果3D检测方法TPDNet
Yazhou Wang,Tianhan Zhang,Xingcai Wu et al.
Yazhou Wang et al.
The growth of the global population has increased the demand for fruits and vegetables, while high harvesting labor costs severely constrain industry development. Currently, relevant personnel primarily utilize 2D object detection technolog...
An unsupervised semantic segmentation network for wood-leaf separation in 3D point clouds [0.03%]
一种用于三维点云中木材叶片分割的无监督语义分割网络
Yijun Zhong,Jiaohua Qin,Shuai Liu et al.
Yijun Zhong et al.
Separating wood and leaf components in tree point clouds is one of the key tasks for achieving automated forest inventory and management. To obtain accurate wood‒leaf separation results, traditional methods typically rely on large amounts ...
Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization [0.03%]
基于无人机的多变量时间序列数据和变量独立令牌化的冬小麦产量预测
Yan Ge,Zhichang Zhu,Shichao Jin et al.
Yan Ge et al.
The breeding of high-yield wheat varieties is needed to ensure food security. Accurately and rapidly predicting wheat yield at the plot level via UAVs would enable breeders to identify meaningful genotypic variations and select superior lin...
Drought stress responses deconstructed: A comprehensive approach for Norway spruce seedlings using high-throughput phenotyping with integrated metabolomics and transcriptomics [0.03%]
基于高通量表型与整合代谢组学和转录组学的综合方法解析云杉实生苗干旱胁迫响应机制
Muhammad Ahmad,Sebastian Seitner,Jakub Jez et al.
Muhammad Ahmad et al.
Norway spruce (Picea abies Karst L.) is one of the most ecologically and economically significant tree species in Europe, accounting for nearly half of the continent's forest economic value. However, drought is a significant stress factor a...
Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity [0.03%]
基于骨架图优化和分形自相似的个体树模型自适应构建方法研究
Zhenyang Hui,Yating He,Shuanggen Jin et al.
Zhenyang Hui et al.
Three-dimensional tree modeling is crucial for forest ecological applications. However, building accurate individual tree models still faces unresolved challenges, such as wrongly connected branches within the canopy and poor quality modeli...
Syndrome "basses richesses" disease induced structural deformations and sectorial distribution of photoassimilates in sugar beet taproot revealed by combined MRI-PET imaging [0.03%]
“富贵病”诱导的糖 Beet 主根结构变形及光合同化物区室分布的MRI-PET成像研究
Kwabena Agyei,Justus Detring,Ralf Metzner et al.
Kwabena Agyei et al.
The disease syndrome "basses richesses" (SBR) leads to a significant reduction in sugar beet biomass and sugar content, negatively affecting the sugar economy. The mechanistic understanding regarding growth and photoassimilates distribution...
Xiuping Liu,Yunzhou Qiao,Zhenlin Tian et al.
Xiuping Liu et al.
Plant energy use is fundamental to plant survival and growth. However, we still lack effective means to quantify plant energy use strategies. This study introduced a concept quantifying the light level at which photochemical and non-photoch...
Insights of freshness phenotype detection for postharvest fruit and vegetables [0.03%]
采后果蔬新鲜度表型识别研究进展
Qiankun Wang,Hui He,Chenxia Liu et al.
Qiankun Wang et al.
The freshness phenotype of fruit and vegetables is a critical determinant of consumer satisfaction, selection, and public health, which plays a pivotal role in postharvest quality management. This paper presents a review of the definition a...
SSP-MambaNet: An automated system for detection and counting of missing seedlings in glass greenhouse-grown virus-free strawberry [0.03%]
SSP-马巴网：一种在玻璃温室中检测和计数无病毒草莓缺失幼苗的自动化系统
Mengen Yuan,Dong Wang,Jiong Lin et al.
Mengen Yuan et al.
Precisely identifying missing virus-free strawberry mother plants in nutrient pots post-transplantation is crucial for optimizing seedling management and maximizing yields in glass greenhouses. Thus, we present an automated method for detec...
Spotibot: Rapid scoring of B otrytis lesions on rose petals using deep learning and mobile computing [0.03%]
基于深度学习和移动计算的玫瑰花瓣病斑快速评分系统Spotibot
Dan Jeric Arcega Rustia,Maikel Zerdoner,Manon Mensink et al.
Dan Jeric Arcega Rustia et al.
Roses are renowned for their ornamental value and are available in a wide range of colors and shapes due to extensive breeding and ease of hybridization. During post-harvest, roses are highly susceptible to fungal decay by the grey mould fu...