CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting [0.03%]
基于多尺度MLP-Mixer的计数监督网络小麦穗计数方法-CSNet
Yaoxi Li,Xingcai Wu,Qi Wang et al.
Yaoxi Li et al.
Wheat is the most widely grown crop in the world, and its yield is closely related to global food security. The number of ears is important for wheat breeding and yield estimation. Therefore, automated wheat ear counting techniques are esse...
IHUP: An Integrated High-Throughput Universal Phenotyping Software Platform to Accelerate Unmanned-Aerial-Vehicle-Based Field Plant Phenotypic Data Extraction and Analysis [0.03%]
IHUP：一个基于无人驾驶航空器的田间植物表型信息提取和分析的高通量通用表型软件平台
Botao Wang,Chenghai Yang,Jian Zhang et al.
Botao Wang et al.
With the threshold for crop growth data collection having been markedly decreased by sensor miniaturization and cost reduction, unmanned aerial vehicle (UAV)-based low-altitude remote sensing has shown remarkable advantages in field phenoty...
CucumberAI: Cucumber Fruit Morphology Identification System Based on Artificial Intelligence [0.03%]
基于人工智能的黄瓜果实形态识别系统 cucumberAI
Wei Xue,Haifeng Ding,Tao Jin et al.
Wei Xue et al.
Cucumber is an important vegetable crop that has high nutritional and economic value and is thus favored by consumers worldwide. Exploring an accurate and fast technique for measuring the morphological traits of cucumber fruit could be help...
Study on the Optimal Leaf Area-to-Fruit Ratio of Pear Trees on the Basis of Bearing Branch Girdling and Machine Learning [0.03%]
基于环割和机器学习的梨树结果枝最优叶面积-果实比研究
Fanhang Zhang,Qi Wang,Haitao Li et al.
Fanhang Zhang et al.
The leaf area-to-fruit ratio (LAFR) is an important factor affecting fruit quality. Previous studies on LAFR have provided some recommendations for optimal values. However, these recommendations have been quite broad and lack effectiveness ...
A Multi-Modal Open Object Detection Model for Tomato Leaf Diseases with Strong Generalization Performance Using PDC-VLD [0.03%]
一种用于番茄叶病害的多模态开放目标检测模型PDC-VLD及其较强的泛化性能
Jinyang Li,Fengting Zhao,Hongmin Zhao et al.
Jinyang Li et al.
Precise disease detection is crucial in modern precision agriculture, especially in ensuring the health of tomato crops and enhancing agricultural productivity and product quality. Although most existing disease detection methods have helpe...
PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping [0.03%]
PREPs软件：田间高通量植物表型分析的开放式平台
Atsushi Itoh,Stephen N Njane,Masayuki Hirafuji et al.
Atsushi Itoh et al.
An open-source software for field-based plant phenotyping, Precision Plots Analyzer (PREPs), was developed using Window.NET. The software runs on 64-bit Windows computers. This software allows the extraction of phenotypic traits on a per-mi...
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition [0.03%]
一种基于局部和全局特征的植物病害识别双分支网络模型
Jianwu Lin,Xin Zhang,Yongbin Qin et al.
Jianwu Lin et al.
Accurate identification of plant diseases is important for ensuring the safety of agricultural production. Convolutional neural networks (CNNs) and visual transformers (VTs) can extract effective representations of images and have been wide...
Weiliang Wen,Jinglu Wang,Yanxin Zhao et al.
Weiliang Wen et al.
Marked variations in the 3-dimensional (3D) shape of corn leaves can be discerned as a function of various influences, including genetics, environmental factors, and the management of cultivation processes. However, the causes of these vari...
High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum [0.03%]
高分辨率疾病表型分析揭示了番茄作物野生近缘种抵抗Sclerotinia sclerotiorum的机制差异
Severin Einspanier,Christopher Tominello-Ramirez,Mario Hasler et al.
Severin Einspanier et al.
Besides the well-understood qualitative disease resistance, plants possess a more complex quantitative form of resistance: quantitative disease resistance (QDR). QDR is commonly defined as a partial but more durable form of resistance and, ...
AISOA-SSformer: An Effective Image Segmentation Method for Rice Leaf Disease Based on the Transformer Architecture [0.03%]
基于变压器架构的水稻叶片病害有效图像分割方法AISOA-SSformer
Weisi Dai,Wenke Zhu,Guoxiong Zhou et al.
Weisi Dai et al.
Rice leaf diseases have an important impact on modern farming, threatening crop health and yield. Accurate semantic segmentation techniques are crucial for segmenting diseased leaf parts and assisting farmers in disease identification. Howe...