Confidence and uncertainty aware deep learning for reliable grape leaf disease diagnosis under real world field conditions [0.03%]
面向实际田间条件的可靠葡萄叶病害深度学习诊断方法研究
Ebru Ergün,Hatice Okumus,Omer Emin Cinar et al.
Ebru Ergün et al.
Accurate and reliable diagnosis of grape leaf diseases is essential for sustainable viticulture, enabling timely intervention, reducing economic losses, and supporting precision crop management. Although deep learning (DL) models have demon...
Identification of genome size and heterozygosity in 510 Jujube (Ziziphus jujuba Mill.) germplasms based on deep resequencing [0.03%]
基于深度重测序技术鉴定510份枣（皱褶冠丛胎菊枳梗）种质的基因组大小与杂合度
Wenshu Zhao,Yihan Yang,Hao Wu et al.
Wenshu Zhao et al.
Introduction: Genome size and heterozygosity represent the fundamental genetic attributes of a species, but their intraspecies diversity and evolution remain largely elusive. ...
Microclimatic responses to shelterbelt structural configuration in an arid cotton agroforestry system [0.03%]
干旱棉农林系统中防风固沙林结构配置的微气候响应
Xiaoqian Li,Ping Lv,Zhuo Zhang et al.
Xiaoqian Li et al.
Introduction: Farmland shelterbelts serve as important ecological barriers that protect agricultural systems. Investigating the effects of shelterbelts with different structural configurations on farmland microclimate is ...
AWAVM-UNet: adaptive-weighted attention VM-UNet with multiscale attention feature aggregation for grape disease detection from UAV imagery [0.03%]
基于多尺度注意力特征聚合的自适应加权注意VM-UNET，在无人机图像中检测葡萄病害
Ting Zhang,Yaqiang Liu,Yanqin He
Ting Zhang
Grape diseases cause substantial economic losses worldwide, making accurate detection critical for effective control. UAV imagery offers a promising solution for automated disease surveillance, but detecting grape diseases from UAV images r...
A universal DNA-barcode approach to aid species identification in the family Cyperaceae [0.03%]
一种通用的DNA条形码方法在科水平上辅助莎草科植物鉴定物种身份
Prabin Bhandari,Chao Xu,Bang-Ze Li et al.
Prabin Bhandari et al.
Cyperaceae, one of the ten largest plant families with a cosmopolitan distribution, presents significant taxonomic challenges due to its highly reduced and complex floral structures. These complexities make species identification through co...
Bioengineered silicon nanoparticles in agroecosystems: molecular mechanisms, stress tolerance, and environmental implications [0.03%]
农业生态系统的生物工程硅纳米颗粒：分子机制、抗逆性及环境影响
Swati Sachdev,Syed Uzma Jalil,Zienab F R Ahmed et al.
Swati Sachdev et al.
The increasing incorporation of engineered nanomaterials into agro-environmental systems requires a balanced evaluation of their biological efficacy and potential environmental implications. Silicon (Si) is a quasi-essential element, which ...
Wheat straw decomposition constituents: a genome-wide association study and environmental influence analysis [0.03%]
小麦秸秆分解性状的全基因组关联分析及环境效应解析
Nathan S Nielsen,Melinda Zubrod,Tami L Stubbs et al.
Nathan S Nielsen et al.
Adoption of no-till farming in Eastern Washington has been slow due to difficulties managing wheat (Triticum aestivum L.) straw residue in no-till systems. We hypothesize that a genome-wide association study (GWAS) will identify single nucl...
Modeling production curves in a strawberry breeding program to optimize early season productivity [0.03%]
建立一个草莓育种项目的生产曲线模型以优化早期产量
Sehijpreet Kaur,Joshua Sleper,Cheryl Dalid et al.
Sehijpreet Kaur et al.
Florida and California produce 98% of U.S. strawberries, with Florida growers' profitability depending on high yields early in the season (November-January), when prices are the highest in the U.S. market. This study aims to model the cumul...
Correction: Identification of natural resistance mediated by recognition of Phytophthora infestans effector gene Avr3aEM in potato [0.03%]
关于鉴定马铃薯对致病疫霉效应子基因Avr3aEM介导的抗性的校正公告
Ahmed S M Elnahal,Jinyang Li,Xiaoxia Wang et al.
Ahmed S M Elnahal et al.
[This corrects the article DOI: 10.3389/fpls.2020.00919.]. Keywords: Longshu7; Phytophthora infestans; Qings...
Published Erratum
Frontiers in plant science. 2026 Jul 16:17:1919638. DOI:10.3389/fpls.2026.1919638 2026
You only look once-based neural network and grading method for peach leaf shot hole disease detection under natural conditions [0.03%]
基于YOLO的自然环境下桃树叶枪孔病害检测神经网络及评分方法研究
Bohao Liu,Xiu Wang,Jianjun Hao et al.
Bohao Liu et al.
The frequent occurrence of peach leaf shot hole disease severely affects peach yield and fruit quality. Under natural conditions, the detection accuracy of existing methods is often compromised by substantial variability in disease characte...