Coupling Plant Growth Models and Pest and Disease Models: An Interaction Structure Proposal, MIMIC [0.03%]
植物生长模型与病虫害模型的耦合：MIMIC方法论框架提案
Houssem E M Triki,Fabienne Ribeyre,Fabrice Pinard et al.
Houssem E M Triki et al.
Coupling plant growth model with pests and diseases (P&D) models, with consideration for the long-term feedback that occurs after the interaction, is still a challenging task nowadays. While a number of studies have examined various methodo...
Eff-3DPSeg: 3D Organ-Level Plant Shoot Segmentation Using Annotation-Efficient Deep Learning [0.03%]
Eff-3DPSeg：利用注释高效深度学习进行三维器官水平植物 shoots 分割
Liyi Luo,Xintong Jiang,Yu Yang et al.
Liyi Luo et al.
Reliable and automated 3-dimensional (3D) plant shoot segmentation is a core prerequisite for the extraction of plant phenotypic traits at the organ level. Combining deep learning and point clouds can provide effective ways to address the c...
Interaction of Genotype, Environment, and Management on Organ-Specific Critical Nitrogen Dilution Curve in Wheat [0.03%]
小麦基因型、环境和管理对器官特异性临界氮稀释曲线互作的影响
Bo Yao,Xiaolong Wang,Yancheng Wang et al.
Bo Yao et al.
The organ-specific critical nitrogen (Nc) dilution curves are widely thought to represent a new approach for crop nitrogen (N) nutrition diagnosis, N management, and crop modeling. The Nc dilution curve can be described by a power function ...
EasyDAM_V3: Automatic Fruit Labeling Based on Optimal Source Domain Selection and Data Synthesis via a Knowledge Graph [0.03%]
基于最优源域选择和知识图谱数据合成的自动水果标注系统EasyDAM_V3
Wenli Zhang,Yuxin Liu,Chao Zheng et al.
Wenli Zhang et al.
Although deep learning-based fruit detection techniques are becoming popular, they require a large number of labeled datasets to support model training. Moreover, the manual labeling process is time-consuming and labor-intensive. We previou...
Concise Cascade Methods for Transgenic Rice Seed Discrimination using Spectral Phenotyping [0.03%]
基于光谱表型的转基因水稻种子鉴别简明级联方法研究
Jinnuo Zhang,Xuping Feng,Jian Jin et al.
Jinnuo Zhang et al.
Currently, the presence of genetically modified (GM) organisms in agro-food markets is strictly regulated by enacted legislation worldwide. It is essential to ensure the traceability of these transgenic products for food safety, consumer ch...
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa [0.03%]
基于 Few-Shot Learning 的杨树 Populus trichocarpa 叶片性状的大规模分析
John Lagergren,Mirko Pavicic,Hari B Chhetri et al.
John Lagergren et al.
Plant phenotyping is typically a time-consuming and expensive endeavor, requiring large groups of researchers to meticulously measure biologically relevant plant traits, and is the main bottleneck in understanding plant adaptation and the g...
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows [0.03%]
基于3D MRI图像的根系重建中的3D U-Net分割改善了自动化和手动虚拟现实工作流程中的结果
Tobias Selzner,Jannis Horn,Magdalena Landl et al.
Tobias Selzner et al.
Magnetic resonance imaging (MRI) is used to image root systems grown in opaque soil. However, reconstruction of root system architecture (RSA) from 3-dimensional (3D) MRI images is challenging. Low resolution and poor contrast-to-noise rati...
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline [0.03%]
定量分析两种玉米品种冠层光合作用不同影响因素的贡献：新型三维冠层模拟流程的研发
Qingfeng Song,Fusang Liu,Hongyi Bu et al.
Qingfeng Song et al.
Crop yield potential is intrinsically related to canopy photosynthesis; therefore, improving canopy photosynthetic efficiency is a major focus of current efforts to enhance crop yield. Canopy photosynthesis rate (Ac) is influenced by severa...
FCOS-LSC: A Novel Model for Green Fruit Detection in a Complex Orchard Environment [0.03%]
FCOS-LSC：复杂果园环境下的绿色果实检测模型
Ruina Zhao,Yujie Guan,Yuqi Lu et al.
Ruina Zhao et al.
To better address the difficulties in designing green fruit recognition techniques in machine vision systems, a new fruit detection model is proposed. This model is an optimization of the FCOS (full convolution one-stage object detection) a...
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach [0.03%]
基于自监督深度学习语义分割的水稻和小麦绿分估测改进方法
Yangmingrui Gao,Yinglun Li,Ruibo Jiang et al.
Yangmingrui Gao et al.
The green fraction (GF), which is the fraction of green vegetation in a given viewing direction, is closely related to the light interception ability of the crop canopy. Monitoring the dynamics of GF is therefore of great interest for breed...