Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks [0.03%]
基于RGB图像和反向传播神经网络的橄榄果实关键品质性状表型研究
Giuseppe Montanaro,Angelo Petrozza,Laura Rustioni et al.
Giuseppe Montanaro et al.
To predict oil and phenol concentrations in olive fruit, the combination of back propagation neural networks (BPNNs) and contact-less plant phenotyping techniques was employed to retrieve RGB image-based digital proxies of oil and phenol co...
A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period [0.03%]
水稻全生育期基于图像表型组获取和分析策略
Zhixin Tang,Zhuo Chen,Yuan Gao et al.
Zhixin Tang et al.
As one of the most widely grown crops in the world, rice is not only a staple food but also a source of calorie intake for more than half of the world's population, occupying an important position in China's agricultural production. Thus, d...
Predicting and Visualizing Citrus Color Transformation Using a Deep Mask-Guided Generative Network [0.03%]
基于深度掩模引导生成网络的柑橘类果实着色过程预测与可视化
Zehan Bao,Weifu Li,Jun Chen et al.
Zehan Bao et al.
Citrus rind color is a good indicator of fruit development, and methods to monitor and predict color transformation therefore help the decisions of crop management practices and harvest schedules. This work presents the complete workflow to...
WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image [0.03%]
基于宽视野注意力网络的农作物与杂草图像去模糊方法
Chaeyeong Yun,Yu Hwan Kim,Sung Jae Lee et al.
Chaeyeong Yun et al.
Automatically segmenting crops and weeds in the image input from cameras accurately is essential in various agricultural technology fields, such as herbicide spraying by farming robots based on crop and weed segmentation information. Howeve...
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models [0.03%]
基于无人机影像和光合积累模型的水稻地上部生物量估测
Kaili Yang,Jiacai Mo,Shanjun Luo et al.
Kaili Yang et al.
The effective and accurate aboveground biomass (AGB) estimation facilitates evaluating crop growth and site-specific crop management. Considering that rice accumulates AGB mainly through green leaf photosynthesis, we proposed the photosynth...
Root System Traits Contribute to Variability and Plasticity in Response to Phosphorus Fertilization in 2 Field-Grown Sorghum [ Sorghum bicolor (L.) Moench] Cultivars [0.03%]
磷肥对两个栽培高粱品系（Sorghum bicolor(L.)Moench）的响应可塑性及其决定因素-根系特征的影响
Michael O Adu,Paul A Asare,David O Yawson et al.
Michael O Adu et al.
Due to roots' physical and physiological roles in crop productivity, interest in root system architecture (RSA) and plasticity in responses to abiotic stresses is growing. Sorghum is significant for the food security of millions of people. ...
SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard [0.03%]
用于复杂果园绿色苹果分割的新型水果分割模型SE-COTR
Zhifen Wang,Zhonghua Zhang,Yuqi Lu et al.
Zhifen Wang et al.
Because of the unstructured characteristics of natural orchards, the efficient detection and segmentation applications of green fruits remain an essential challenge for intelligent agriculture. Therefore, an innovative fruit segmentation me...
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants [0.03%]
基于 multispectral drone imagery 和 srgan 的快速直接测量绘制抱子甘蓝表型图谱
Jun Zhang,Xinxin Wang,Jingyan Liu et al.
Jun Zhang et al.
The phenotypic parameters of crop plants can be evaluated accurately and quickly using an unmanned aerial vehicle (UAV) equipped with imaging equipment. In this study, hundreds of images of Chinese cabbage (Brassica rapa L. ssp. pekinensis)...
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background [0.03%]
一种通用的小麦叶面积指数生长模型（不受土壤类型影响）
Qiaomin Chen,Bangyou Zheng,Karine Chenu et al.
Qiaomin Chen et al.
It is valuable to develop a generic model that can accurately estimate the leaf area index (LAI) of wheat from unmanned aerial vehicle-based multispectral data for diverse soil backgrounds without any ground calibration. To achieve this obj...
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet [0.03%]
一种基于图像的番茄叶病害检测方法PLPNet
Zhiwen Tang,Xinyu He,Guoxiong Zhou et al.
Zhiwen Tang et al.
Tomato leaf diseases have a significant impact on tomato cultivation modernization. Object detection is an important technique for disease prevention since it may collect reliable disease information. Tomato leaf diseases occur in a variety...