Guinan Guo,Fang Zhou,Qingyang Wu et al.
Guinan Guo et al.
The threat of crop diseases can lead to reduced yields and significantly hinder progress towards achieving the sustainable development goal of "zero hunger." In the process of detecting crop diseases, variations in data collection condition...
Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation [0.03%]
基于半监督学习的无人机遥感玉米苗期监测及定位研究
Rui Yang,Mengyuan Chen,Xiangyu Lu et al.
Rui Yang et al.
Monitoring and managing maize seedlings post-planting is essential for ensuring yield and quality. Unmanned aerial vehicle (UAV) remote sensing technology has been widely integrated for non-destructive detection of maize seedlings. However,...
The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling [0.03%]
深度的馈赠：一种基于深度信息伪标签的近乎无监督的作物分割方法
Songliang Cao,Binghui Xu,Wei Zhou et al.
Songliang Cao et al.
We present Depth-Informed Crop Segmentation (DepthCropSeg), an almost unsupervised crop segmentation approach without manual pixel-level annotations. Crop segmentation is a fundamental vision task in agriculture, which benefits a number of ...
Integrating crop models, single nucleotide polymorphism, and climatic indices to develop genotype-environment interaction model: A case study on rice flowering time [0.03%]
基于作物模型、单核苷酸多态性和气候指标的基因型-环境互作模型构建：以水稻开花期为例
Jinhan Zhang,Shaoyuan Zhang,Yubin Yang et al.
Jinhan Zhang et al.
Genotype-environment interaction (G × E) models have potential in digital breeding and crop phenotype prediction. Using genotype-specific parameters (GSPs) as a bridge, crop growth models can capture G × E and simulate plant growt...
Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery [0.03%]
基于三维辐射传输模型和无人机多光谱影像减少阴影影响的单棵苹果树叶绿素含量反演研究
Chengjian Zhang,Zhibo Chen,Riqiang Chen et al.
Chengjian Zhang et al.
Accurate monitoring and spatial distribution of the leaf chlorophyll content (LCC) and canopy chlorophyll content (CCC) of individual apple trees are highly important for the effective management of individual plants and the promotion of th...
CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research [0.03%]
基于高质量注释的水稻图像数据集用于图像分割和作物表型研究
Zhiyan Tang,Jiandong Sun,Yunlu Tian et al.
Zhiyan Tang et al.
Machine learning models for crop image analysis and phenomics are highly important for precision agriculture and breeding and have been the subject of intensive research. However, the lack of publicly available high-quality image datasets w...
RGB imaging-based evaluation of waterlogging tolerance in cultivated and wild chrysanthemums [0.03%]
基于RGB成像的菊花淹水耐性评价
Siyue Wang,Yang Yang,Junwei Zeng et al.
Siyue Wang et al.
Waterlogging is a major stress that impacts the chrysanthemum industry. Large-scale germplasm screening for identifying waterlogging-tolerant resources in a quick and accurate manner is essential for developing new cultivars with improved w...
Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula [0.03%]
基于高光谱和代谢组数据的模型在模式植物盐芥 discriminate盐胁迫表型中的应用研究
Xiong Deng,Haiyang Pang,Yao Fu et al.
Xiong Deng et al.
Background: Plant phenomics has made significant progress recently, with new demand to move from external characterization to internal exploration through data combination. Hyperspectral and metabolomic data, with cause-a...
A deep learning-based micro-CT image analysis pipeline for nondestructive quantification of the maize kernel internal structure [0.03%]
基于深度学习的微CT图像分析管道，用于玉米籽粒内部结构的无损量化分析
Juan Wang,Si Yang,Chuanyu Wang et al.
Juan Wang et al.
Identifying and segmenting the vitreous and starchy endosperm of maize kernels is essential for texture analysis. However, the complex internal structure of maize kernels presents several challenges. In CT (computed tomography) images, the ...
Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging [0.03%]
基于叶绿素荧光图谱的水稻病害无症诊断方法研究
Hyunjun Lee,Yejin Park,Ghiseok Kim et al.
Hyunjun Lee et al.
Rice blast and brown spot are two of the most significant fungal diseases affecting rice production. Although the leaf symptoms of both diseases are distinct, they manifest as similar brown-black lesions, complicating differentiation and ef...