From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use Efficiency in Wheat [0.03%]
从图像到定位：应用三维深度学习实现多变量和多时间序列的数字表型分析及小麦氮肥利用效率遗传机制解析
Jiawei Chen,Qing Li,Dong Jiang
Jiawei Chen
The selection and promotion of high-yielding and nitrogen-efficient wheat varieties can reduce nitrogen fertilizer application while ensuring wheat yield and quality and contribute to the sustainable development of agriculture; thus, the mi...
Deep Learning Methods Using Imagery from a Smartphone for Recognizing Sorghum Panicles and Counting Grains at a Plant Level [0.03%]
基于智能手机影像的高粱穗花和籽粒深度识别与计数方法研究
Gustavo N Santiago,Pedro H Cisdeli Magalhaes,Ana J P Carcedo et al.
Gustavo N Santiago et al.
High-throughput phenotyping is the bottleneck for advancing field trait characterization and yield improvement in major field crops. Specifically for sorghum (Sorghum bicolor L.), rapid plant-level yield estimation is highly dependent on ch...
Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review [0.03%]
基于功能结构的植物生长模型GreenLab研究进展
Xiujuan Wang,Jing Hua,Mengzhen Kang et al.
Xiujuan Wang et al.
It is crucial to assess the impact of climate change on crop productivity and sustainability for the development of effective adaptation measures. Crop models are essential for quantifying this impact on crop yields. To better express crops...
AAUConvNeXt: Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures [0.03%]
基于优化的深度学习架构提升作物倒伏分割性能的AAUConvNeXt模型研究
Panli Zhang,Longhui Niu,Mengchen Cai et al.
Panli Zhang et al.
Rice lodging, a phenomenon precipitated by environmental factors or crop characteristics, presents a substantial challenge in agricultural production, notably impacting yield prediction and disaster assessment. Despite that the application ...
Recognition and Localization of Maize Leaf and Stalk Trajectories in RGB Images Based on Point-Line Net [0.03%]
基于点线网络的RGB图像中玉米叶和茎轨迹的识别与定位
Bingwen Liu,Jianye Chang,Dengfeng Hou et al.
Bingwen Liu et al.
Plant phenotype detection plays a crucial role in understanding and studying plant biology, agriculture, and ecology. It involves the quantification and analysis of various physical traits and characteristics of plants, such as plant height...
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model [0.03%]
基于作物生长通用模型的大豆籽粒产量估算研究
Shiwei Ruan,Hong Cao,Shangrong Wu et al.
Shiwei Ruan et al.
To address the underestimation of rape yield by traditional gramineous crop yield simulation methods based on crop models, this study used the WOFOST crop model to estimate rape yield in the main producing areas of southern Hunan based on 2...
Yunpeng Zhao,Shansong Wang,Qingtian Zeng et al.
Yunpeng Zhao et al.
In contemporary agriculture, experts develop preventative and remedial strategies for various disease stages in diverse crops. Decision-making regarding the stages of disease occurrence exceeds the capabilities of single-image tasks, such a...
One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning [0.03%]
一目了然：基于少量样本学习的统一作物计数模型走向成熟
Qiang Wang,Xijian Fan,Ziqing Zhuang et al.
Qiang Wang et al.
Accurate counting of cereals crops, e.g., maize, rice, sorghum, and wheat, is crucial for estimating grain production and ensuring food security. However, existing methods for counting cereal crops focus predominantly on building models for...
Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in Ginkgo from Bidirectional Reflectance Factor Spectra [0.03%]
结合叶结构先验估计耦合PROSPECT模型以改进从双向反射率光谱中反演银杏叶片氮素含量
Kai Zhou,Saiting Qiu,Fuliang Cao et al.
Kai Zhou et al.
Leaf nitrogen content (LNC) is a crucial indicator for assessing the nitrogen status of forest trees. The LNC retrieval can be achieved with the inversion of the PROSPECT-PRO model. However, the LNC retrieval from the commonly used leaf bid...
A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks [0.03%]
一种用于分析和模拟木质藤本植物根系架构的田间到参数管廊：应用于葡萄砧木
Lukas Fichtl,Daniel Leitner,Andrea Schnepf et al.
Lukas Fichtl et al.
Understanding root system architecture (RSA) is essential for improving crop resilience to climate change, yet assessing root systems of woody perennials under field conditions remains a challenge. This study introduces a pipeline that comb...