KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes [0.03%]
基于田间作物表型的图像分析辅助训练算法KAT4IA
Xingche Guo,Yumou Qiu,Dan Nettleton et al.
Xingche Guo et al.
High-throughput phenotyping enables the efficient collection of plant trait data at scale. One example involves using imaging systems over key phases of a crop growing season. Although the resulting images provide rich data for statistical ...
Using Machine Learning to Develop a Fully Automated Soybean Nodule Acquisition Pipeline (SNAP) [0.03%]
基于机器学习的大豆根瘤获取自动化流程的研究
Talukder Zaki Jubery,Clayton N Carley,Arti Singh et al.
Talukder Zaki Jubery et al.
Nodules form on plant roots through the symbiotic relationship between soybean (Glycine max L. Merr.) roots and bacteria (Bradyrhizobium japonicum) and are an important structure where atmospheric nitrogen (N2) is fixed into bioavailable am...
High-Throughput Corn Image Segmentation and Trait Extraction Using Chlorophyll Fluorescence Images [0.03%]
基于叶绿素荧光图像的玉米图像分割及农艺性状提取方法
Augusto Souza,Yang Yang
Augusto Souza
Plant segmentation and trait extraction for individual organs are two of the key challenges in high-throughput phenotyping (HTP) operations. To address this challenge, the Ag Alumni Seed Phenotyping Facility (AAPF) at Purdue University util...
Qualification of Soybean Responses to Flooding Stress Using UAV-Based Imagery and Deep Learning [0.03%]
基于无人机影像和深度学习的洪水胁迫下大豆响应的表型鉴定
Jing Zhou,Huawei Mou,Jianfeng Zhou et al.
Jing Zhou et al.
Soybean is sensitive to flooding stress that may result in poor seed quality and significant yield reduction. Soybean production under flooding could be sustained by developing flood-tolerant cultivars through breeding programs. Conventiona...
Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications [0.03%]
基于育种应用的多视角图像融合的大豆产量估算方法研究
Luis G Riera,Matthew E Carroll,Zhisheng Zhang et al.
Luis G Riera et al.
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop a machine learning (ML) approach adept at soybean (Glycine ...
Impact of Varying Light and Dew on Ground Cover Estimates from Active NDVI, RGB, and LiDAR [0.03%]
光照和露水对主动NDVI、RGB和LiDAR地面覆盖估算的影响
David M Deery,David J Smith,Robert Davy et al.
David M Deery et al.
Canopy ground cover (GC) is an important agronomic measure for evaluating crop establishment and early growth. This study evaluates the reliability of GC estimates, in the presence of varying light and dew on leaves, from three different gr...
An Integrated Method for Tracking and Monitoring Stomata Dynamics from Microscope Videos [0.03%]
基于显微镜视频的气孔动态追踪和监测的集成方法
Zhuangzhuang Sun,Yunlin Song,Qing Li et al.
Zhuangzhuang Sun et al.
Patchy stomata are a common and characteristic phenomenon in plants. Understanding and studying the regulation mechanism of patchy stomata are of great significance to further supplement and improve the stomatal theory. Currently, the commo...
Wei Guo,Matthew E Carroll,Arti Singh et al.
Wei Guo et al.
Unmanned aircraft system (UAS) is a particularly powerful tool for plant phenotyping, due to reasonable cost of procurement and deployment, ease and flexibility for control and operation, ability to reconfigure sensor payloads to diversify ...
Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning [0.03%]
基于深度学习的复杂背景下增强马铃薯晚疫病的田间检测方法研究
Joe Johnson,Geetanjali Sharma,Srikant Srinivasan et al.
Joe Johnson et al.
Rapid and automated identification of blight disease in potato will help farmers to apply timely remedies to protect their produce. Manual detection of blight disease can be cumbersome and may require trained experts. To overcome these issu...
Automatic Fruit Morphology Phenome and Genetic Analysis: An Application in the Octoploid Strawberry [0.03%]
自动果实形态性状和遗传分析：八倍体草莓中的应用研究
Laura M Zingaretti,Amparo Monfort,Miguel Pérez-Enciso
Laura M Zingaretti
Automatizing phenotype measurement will decisively contribute to increase plant breeding efficiency. Among phenotypes, morphological traits are relevant in many fruit breeding programs, as appearance influences consumer preference. Often, t...