SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth [0.03%]
SMICGS：一种新颖的快照多光谱成像传感器用于定量监测作物生长
Yongxian Wang,Mingchao Shao,Jiacheng Wang et al.
Yongxian Wang et al.
Unmanned aerial vehicle (UAV)-based multispectral imaging is one of the most widely used technologies for rapid crop monitoring, essential for crop-growth management. However, the technology's complex optical structure and difficulty in int...
Limit and enhancing potential of canopy photosynthesis for greenhouse tomato: a model analysis in different climatic environments [0.03%]
温室环境下不同气候条件对番茄冠层光合生产能力限制及提升潜力的模型分析
Xiaolong Ma,Jiayue Chang,Wuqiang Li et al.
Xiaolong Ma et al.
Canopy photosynthetic productivity is crucial for the formation of crop yields. Identifying limiting factors and adjustment targets for canopy photosynthesis in specific climates is important for yield increase. However, conducting relevant...
Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning [0.03%]
基于轻型无人机和点云深度学习的大豆产量估计与倒伏识别
Longyu Zhou,Dezhi Han,Guangyao Sun et al.
Longyu Zhou et al.
The unmanned aerial vehicle (UAV) platform has emerged as a powerful tool in soybean (Glycine max (L.) Merr.) breeding phenotype research due to its high throughput and adaptability. However, previous studies have predominantly relied on st...
Determination of optimal sampling time of grape embryo rescue based on near infrared spectroscopy combined with machine learning [0.03%]
基于近红外光谱结合机器学习的葡萄离体胚胎解救最佳取样时期的确定
Fuqiang Wang,Lu Bian,Zhanzhan Zhan et al.
Fuqiang Wang et al.
Grape embryo rescue technology is currently the primary method for breeding new seedless grape cultivars. The timing of berry sampling directly impacts the efficacy of this technique. Therefore, achieving efficient, accurate, and non-destru...
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...