High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks [0.03%]
基于深度网络的水稻插秧至分蘖期高通量密度估算方法研究
Liang Liu,Hao Lu,Yanan Li et al.
Liang Liu et al.
Rice density is closely related to yield estimation, growth diagnosis, cultivated area statistics, and management and damage evaluation. Currently, rice density estimation heavily relies on manual sampling and counting, which is inefficient...
Yosuke Toda,Fumio Okura
Yosuke Toda
Deep learning with convolutional neural networks (CNNs) has achieved great success in the classification of various plant diseases. However, a limited number of studies have elucidated the process of inference, leaving it as an untouchable ...
A High-Throughput Phenotyping System Using Machine Vision to Quantify Severity of Grapevine Powdery Mildew [0.03%]
基于机器视觉的高通量表型分析系统量化葡萄粉霉病的危害程度
Andrew Bierman,Tim LaPlumm,Lance Cadle-Davidson et al.
Andrew Bierman et al.
Powdery mildews present specific challenges to phenotyping systems that are based on imaging. Having previously developed low-throughput, quantitative microscopy approaches for phenotyping resistance to Erysiphe necator on thousands of grap...
Optical Flow-Based Analysis of the Relationships between Leaf Wilting and Stem Diameter Variations in Tomato Plants [0.03%]
基于光流的番茄植株叶片萎蔫与茎秆直径变化关系分析
Kazumasa Wakamori,Hiroshi Mineno
Kazumasa Wakamori
The estimation of water stress is critical for the reliable production of high-quality fruits cultivated using the tacit knowledge of expert farmers. Multimodal deep neural network has achieved success in the estimation of stem diameter var...
instaGraminoid, a Novel Colorimetric Method to Assess Herbicide Resistance, Identifies Patterns of Cross-Resistance in Annual Ryegrass [0.03%]
一种新的分光法测定除草剂抗性方法——instaGraminoid，以及其在鉴定一年生黑麦草交叉抗性模式中的应用
Jefferson F Paril,Alexandre J Fournier-Level
Jefferson F Paril
Herbicide resistance in agricultural weeds is a global problem with an increasing understanding that it is caused by multiple genes leading to quantitative resistance. These quantitative patterns of resistance are not easy to decipher with ...
Roland Pieruschka,Uli Schurr
Roland Pieruschka
A plant develops the dynamic phenotypes from the interaction of the plant with the environment. Understanding these processes that span plant's lifetime in a permanently changing environment is essential for the advancement of basic plant s...
An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat [0.03%]
基于深度学习的表型分析在英国面包小麦田间鉴定突变系的方法研究
Tahani Alkhudaydi,Daniel Reynolds,Simon Griffiths et al.
Tahani Alkhudaydi et al.
Wheat is one of the major crops in the world, with a global demand expected to reach 850 million tons by 2050 that is clearly outpacing current supply. The continual pressure to sustain wheat yield due to the world's growing population unde...
E de Langre,O Penalver,P Hémon et al.
E de Langre et al.
The frequencies of free oscillations of plants, or plant parts, depend on their geometries, stiffnesses, and masses. Besides direct biomechanical interest, free frequencies also provide insights into plant properties that can usually only b...
In Vivo Phenotyping for the Early Detection of Drought Stress in Tomato [0.03%]
基于番茄早期干旱胁迫的非损伤检测模型研究
Michela Janni,Nicola Coppede,Manuele Bettelli et al.
Michela Janni et al.
Drought stress imposes a major constraint over a crop yield and can be expected to grow in importance if the climate change predicted comes about. Improved methods are needed to facilitate crop management via the prompt detection of the ons...
High-Throughput UAV Image-Based Method Is More Precise Than Manual Rating of Herbicide Tolerance [0.03%]
基于无人机的高通量图像法比人工评级更能精确评价除草剂抗性水平
Hema S N Duddu,Eric N Johnson,Christian J Willenborg et al.
Hema S N Duddu et al.
The traditional visual rating system is labor-intensive, time-consuming, and prone to human error. Unmanned aerial vehicle (UAV) imagery-based vegetation indices (VI) have potential applications in high-throughput plant phenotyping. The stu...