Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery [0.03%]
作物/植物模型支持植物育种II.功能型植物表型学指导性状发掘
Pengpeng Zhang,Jingyao Huang,Yuntao Ma et al.
Pengpeng Zhang et al.
Observable morphological traits are widely employed in plant phenotyping for breeding use, which are often the external phenotypes driven by a chain of functional actions in plants. Identifying and phenotyping inherently functional traits f...
Application of an Improved 2-Dimensional High-Throughput Soybean Root Phenotyping Platform to Identify Novel Genetic Variants Regulating Root Architecture Traits [0.03%]
改进的二维高通量大豆根表型平台在鉴定调控根构型性状新型遗传变异中的应用
Rahul Chandnani,Tongfei Qin,Heng Ye et al.
Rahul Chandnani et al.
Nutrient-efficient root system architecture (RSA) is becoming an important breeding objective for generating crop varieties with improved nutrient and water acquisition efficiency. Genetic variants shaping soybean RSA is key in improving nu...
Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning (TLS) Data [0.03%]
基于地面激光扫描数据的银杏优良生长结构表型个体的筛选
Wen Gao,Xiaoming Yang,Lin Cao et al.
Wen Gao et al.
With the concept of sustainable management of plantations, individual trees with excellent characteristics in plantations have received attention from breeders. To improve and maintain long-term productivity, accurate and high-throughput ac...
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search [0.03%]
基于CNN和双向扇区搜索的树藤检测与重构算法
Jiangchuan Bao,Guo Li,Haolan Mo et al.
Jiangchuan Bao et al.
Accurate detection and reconstruction of branches aid the accuracy of harvesting robots and extraction of plant phenotypic information. However, the complex orchard background and twisting growing branches of vine fruit trees make this chal...
Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income [0.03%]
基于无人机的收获数据预测可以减少农场食品损失并提高农民收入
Haozhou Wang,Tang Li,Erika Nishida et al.
Haozhou Wang et al.
On-farm food loss (i.e., grade-out vegetables) is a difficult challenge in sustainable agricultural systems. The simplest method to reduce the number of grade-out vegetables is to monitor and predict the size of all individuals in the veget...
SPSI: A Novel Composite Index for Estimating Panicle Number in Winter Wheat before Heading from UAV Multispectral Imagery [0.03%]
基于无人机多光谱影像的冬小麦拔节前穗数估算新指标SPSI研究
Yapeng Wu,Wenhui Wang,Yangyang Gu et al.
Yapeng Wu et al.
Rapid and accurate estimation of panicle number per unit ground area (PNPA) in winter wheat before heading is crucial to evaluate yield potential and regulate crop growth for increasing the final yield. The accuracies of existing methods we...
To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? [0.03%]
条锈病感染会如何影响遥感水稻氮素状态监测？
Alexis Carlier,Sebastien Dandrifosse,Benjamin Dumont et al.
Alexis Carlier et al.
The utilization of high-throughput in-field phenotyping systems presents new opportunities for evaluating crop stress. However, existing studies have primarily focused on individual stresses, overlooking the fact that crops in field conditi...
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models [0.03%]
农业深度学习模型高效训练的数据集标准化与集中化
Amogh Joshi,Dario Guevara,Mason Earles
Amogh Joshi
In recent years, deep learning models have become the standard for agricultural computer vision. Such models are typically fine-tuned to agricultural tasks using model weights that were originally fit to more general, non-agricultural datas...
Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT [0.03%]
基于AS-SwinT的用于疏果前葡萄实例分割及果粒计数方法
Wensheng Du,Ping Liu
Wensheng Du
Berry thinning is one of the most important tasks in the management of high-quality table grapes. Farmers often thin the berries per cluster to a standard number by counting. With an aging population, it is hard to find adequate skilled far...
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field [0.03%]
基于实地的光截获计算中使用现实三维冠层模型的重要性
Shunfu Xiao,Shuaipeng Fei,Qing Li et al.
Shunfu Xiao et al.
Quantifying canopy light interception provides insight into the effects of plant spacing, canopy structure, and leaf orientation on radiation distribution. This is essential for increasing crop yield and improving product quality. Canopy li...