Assessment of Forest Loss Following Snow and Ice Storms Using the LiDAR Forest Structure Change Index [0.03%]
基于机载激光雷达的林分结构变化指数在评估雨雪冰冻灾害导致森林损失中的应用研究
Haochen Liu,Zhaolong Li,Lingya Huang et al.
Haochen Liu et al.
Assessing forest loss from snow and ice storms is vital for disaster evaluation and sustainable management. Traditional optical remote sensing methods, which focus on horizontal canopy changes, struggle to capture vertical stand alterations...
Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum) [0.03%]
结合无人机多传感器表型和全基因组关联分析揭示棉花株高遗传基础
Liqiang Fan,Jiajie Yang,Xuwen Wang et al.
Liqiang Fan et al.
Plant height (PH) is a key agronomic trait influencing plant architecture. Suitable PH values for cotton are important for lodging resistance, high planting density, and mechanized harvesting, making it crucial to elucidate the mechanisms o...
LKNet: Enhancing rice canopy panicle counting accuracy with an optimized point-based framework [0.03%]
基于优化点框架的水稻穗数精准计数方法
Ziqiu Li,Weiyuan Hong,Xiangqian Feng et al.
Ziqiu Li et al.
Location-based methods for counting rice panicles have often been underestimated, primarily due to their perceived inferior performance when compared to detection-based techniques. However, we argue that the potential of these location-base...
A hybrid method for water stress evaluation of rice with the radiative transfer model and multidimensional imaging [0.03%]
结合辐射传输模型和多维影像的水稻干旱胁迫评价方法研究
Yufan Zhang,Xiuliang Jin,Liangsheng Shi et al.
Yufan Zhang et al.
Water stress is a crucial environmental factor that impacts the growth and yield of rice. Complex field microclimates and fluctuating water conditions pose a considerable challenge in accurately evaluating water stress. Measurement of a par...
In vivo tracing the trajectory of cell lignification in pear fruit during development using click chemistry imaging [0.03%]
基于点击化学成像技术追踪梨果实发育过程中细胞木质化进程
Nan Zhu,Guoming Wang,Kaijie Qi et al.
Nan Zhu et al.
Pear fruit typically contains abundant highly lignified cells, known as stone cells, which have a negative impact on the fruit's edibility and processing quality. Despite extensive physiological and molecular research, there remains a limit...
3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy [0.03%]
基于三维重建的叶序高通量表型分析及定量遗传研究
Jensina M Davis,Mathieu Gaillard,Michael C Tross et al.
Jensina M Davis et al.
Differences in canopy architecture play a role in determining both the light and water use efficiency. Canopy architecture is determined by several component traits, including leaf length, width, number, angle, and phyllotaxy. Phyllotaxy ma...
IMP2RIS, an automated plant root PET radiotracer gas delivery system for in-soil visualization of symbiotic N2 fixation in nodulated roots of soybean plants via PET imaging [0.03%]
一种自动化的植物根部PET放射性示踪气体递送系统，用于通过PET成像可视化结节大豆植株共生N₂固定化在土壤中的情况
Alireza Nakhforoosh,Emil Hallin,Zongyu Wang et al.
Alireza Nakhforoosh et al.
The real-time and non-invasive visualization and quantification of symbiotic nitrogen fixation (SNF) in nodulated roots of soybean plants using Positron Emission Tomography (PET) imaging, coupled with the application of [13N]N2 gas as a PET...
Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery [0.03%]
基于超低空无人机影像的3D冠层模型解析小麦多层级株高的遗传规律
Shuaipeng Fei,Yidan Jia,Lei Li et al.
Shuaipeng Fei et al.
In quantitative genomic analysis of wheat plant height (PH), the average height of a few representative plants is typically used to represent the PH of the entire plot, which overlooks the variation in height among other plants. Extracting ...
Identification of phenotypic and transcriptomic signatures underpinning maize crown root systems [0.03%]
鉴定玉米冠根系统的表型和转录特征标识
Jodi B Callwood,Craig L Cowling,Ella G Townsend et al.
Jodi B Callwood et al.
Maize is pivotal in supporting global agriculture and addressing food security challenges. Crop root systems are critical for water uptake and nutrient acquisition, which impacts yield. Quantitative trait phenotyping is essential to underst...
PlantCaFo: An efficient few-shot plant disease recognition method based on foundation models [0.03%]
基于基础模型的高效少样本植物病害识别方法PlantCaFo
Xue Jiang,Jiashi Wang,Kai Xie et al.
Xue Jiang et al.
Although plant disease recognition is highly important in agricultural production, traditional methods face challenges due to the high costs associated with data collection and the scarcity of samples. Few-shot plant disease identification ...