FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection [0.03%]
基于领域先验知识的少样本杂草检测方法研究
Jingyao Gai,Bao Lu,Shijie Liu et al.
Jingyao Gai et al.
Deep learning-based crop and weed detection is essential for modern precision weed control. But its effectiveness is limited when facing newly presented weed species due to the impracticality of collecting large, balanced training datasets ...
Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review [0.03%]
预测建模、图案识别及模拟和控制环境下的植物生长时空表示：全面综述
Mohamed Debbagh,Shangpeng Sun,Mark Lefsrud
Mohamed Debbagh
Accurate predictions and representations of plant growth patterns in simulated and controlled environments are important for addressing various challenges in plant phenomics research. This review explores various works on state-of-the-art p...
Field phenotyping for soybean density tolerance using time-series prediction and dynamic modeling [0.03%]
基于时间序列预测和动态模型的耐密品种大豆田间表型鉴定
Guangyao Sun,Yong Zhang,Lei Meng et al.
Guangyao Sun et al.
With the increasing global demand for food, breeding soybean varieties resistant to dense planting is crucial for achieving high and stable yields. Traditional phenotyping methods are limited by insufficient temporal resolution and challeng...
Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight [0.03%]
基于双无人机协同飞行的精准图像色彩校正方法
Xuqi Lu,Jiayang Xie,Jiayou Yan et al.
Xuqi Lu et al.
Color accuracy and consistency in remote sensing imagery are crucial for reliable plant health monitoring, precise growth stage identification, and stress detection. However, without effective color correction, variations in lighting and se...
A keypoint-based method for detecting weed growth points in corn field environments [0.03%]
一种基于关键点的玉米地杂草生长点检测方法
Mochen Liu,Xiaoli Xu,Tingdong Tian et al.
Mochen Liu et al.
Weed growth significantly impacts corn yield. With the continuous development of weed control technologies, achieving more effective and precise weed management has become a major challenge in corn production. To achieve precise weed suppre...
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images [0.03%]
基于知识蒸馏的农作物和杂草图像扩展和语义分割网络(KDOSS-net)
Sang Hyo Cheong,Sung Jae Lee,Su Jin Im et al.
Sang Hyo Cheong et al.
Weed management plays a crucial role in increasing crop yields. Semantic segmentation, which classifies each pixel in an image captured by a camera into categories such as crops, weeds, and background, is a widely used method in this contex...
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud [0.03%]
基于无人机LiDAR点云的精准单棵橡胶树分割方法TM-WSNet
Lele Yan,Guoxiong Zhou,Miying Yan et al.
Lele Yan et al.
Rubber products have become an important strategic resource in the global economy. However, individual rubber tree segmentation in plantation environments remains challenging due to canopy background interference and significant morphologic...
Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms [0.03%]
全球水稻多类别分割数据集（riceSEG）：用于开发和评估水稻分割算法的全面且多样化的高分辨率RGB注释图像
Junchi Zhou,Haozhou Wang,Yoichiro Kato et al.
Junchi Zhou et al.
The development of computer vision-based rice phenotyping techniques is crucial for precision field management and accelerated breeding, which facilitate continuously advancing rice production. Among phenotyping tasks, distinguishing image ...
Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine [0.03%]
近红外光谱技术在火炬松抗赤锈病高通量表型分析中的应用研究
Simone Lim-Hing,Anna O Conrad,Cristián R Montes et al.
Simone Lim-Hing et al.
Fusiform rust, caused by the pathogen Cronartium quercuum (Berk.) Miyabe ex Shirai f. sp. fusiforme, is the most important disease of loblolly pine (Pinus taeda L.) in the U.S., causing millions of dollars in damage each year. Using resista...
Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning [0.03%]
基于光谱图像分析和机器学习的快速诊断除草剂活性及作用方式的方法
Tae-Kyeong Noh,Min-Jung Yook,Taek-Sung Lee et al.
Tae-Kyeong Noh et al.
Herbicide screening requires a substantial amount of time, effort, and cost, making a new herbicide discovery expensive and time-consuming. Various diagnostic methods have been developed, but most of them are destructive and require signifi...