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...
PanicleNeRF: Low-Cost, High-Precision In-Field Phenotyping of Rice Panicles with Smartphone [0.03%]
基于智能手机的水稻穗部低成本、高精度表型分析——PanicleNeRF
Xin Yang,Xuqi Lu,Pengyao Xie et al.
Xin Yang et al.
The rice panicle traits substantially influence grain yield, making them a primary target for rice phenotyping studies. However, most existing techniques are limited to controlled indoor environments and have difficulty in capturing the ric...
Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat [0.03%]
基于无人机多角度遥感考虑垂直异质性估算小麦冠层氮素积累
Yuanyuan Pan,Jingyu Li,Jiayi Zhang et al.
Yuanyuan Pan et al.
The accuracy of leaf nitrogen accumulation (LNA) estimation is often compromised by the vertical heterogeneity of crop nitrogen. In this study, an estimation model of LNA considering vertical heterogeneity of wheat was developed based on un...
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.) [0.03%]
基于无人机的数字表型评估芸豆（Phaseolus vulgaris L.）相对成熟度、群体密度和植株高度的方法
Leonardo Volpato,Evan M Wright,Francisco E Gomez
Leonardo Volpato
Substantial effort has been made in manually tracking plant maturity and to measure early-stage plant density and crop height in experimental fields. In this study, RGB drone imagery and deep learning (DL) approaches are explored to measure...
Seasonal Fluctuations and Vertical Heterogeneity of Biochemical-Structural Parameters in Wetland Emergent Aquatic Vegetation [0.03%]
湿地挺水植物群落生物化学结构性状的季节动态及垂直分异规律研究
Huaijing Wang,Yunmei Li,Jianguang Wen et al.
Huaijing Wang et al.
Accurate understanding of vertical patterns of canopy structure characteristics and solar radiation distribution patterns of aquatic vegetation is pivotal in formulating a bidirectional reflection model and comprehending the ecological dyna...
PlanText: Gradually Masked Guidance to Align Image Phenotypes with Trait Descriptions for Plant Disease Texts [0.03%]
基于渐进遮挡指导的图像表型与性状描述对齐的植物病害文本定位方法
Kejun Zhao,Xingcai Wu,Yuanyuan Xiao et al.
Kejun Zhao et al.
Plant diseases are a critical driver of the global food crisis. The integration of advanced artificial intelligence technologies can substantially enhance plant disease diagnostics. However, current methods for early and complex detection r...
Multi-Scale Attention Network for Vertical Seed Distribution in Soybean Breeding Fields [0.03%]
基于多尺度注意力网络的大豆育种田块垂直种子分布检测方法
Tang Li,Pieter M Blok,James Burridge et al.
Tang Li et al.
The increase in the global population is leading to a doubling of the demand for protein. Soybean (Glycine max), a key contributor to global plant-based protein supplies, requires ongoing yield enhancements to keep pace with increasing dema...