Paulo Flores

north dakota state university

H指数:21

被引数:1,812

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Improving estimation of days to maturity in field pea using RGB aerial imagery and machine learning

利用RGB航拍影像和机器学习改进田间豌豆成熟天数的估算

PLANT PHENOME JOURNAL

IF0

2025-09-180

OAAI

Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review

Bazrafkan, A.; Igathinathane, C.; Bandillo, N.; Flores, P. 精准农业中UAS和卫星图像数据集成技术的优化——综述. Front. Remote Sens. 2025, 6, 1622884. [Google Scholar] [CrossRef]

Frontiers in Remote Sensing

IF3.7

2025-08-220

Multispectral data and random forest model outperform deep learning in predicting lentil maturity using UAS imagery

多光谱数据与随机森林模型在利用UAS影像预测小扁豆成熟度方面优于深度学习

Journal of Agriculture and Food Research

IF6.2

2025-07-250

PRE

Evaluating Sensor Fusion and Flight Parameters for Enhanced Plant Height Measurement in Dry Peas

SENSORS

IF3.5

2025-04-120

OAAI

Accurate plant height estimation in pulse crops through integration of LiDAR, multispectral information, and machine learning

通过集成激光雷达，多光谱信息和机器学习，准确估计脉冲作物的植物高度

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT

IF4.5

2025-03-010

PRE

Identification of novel candidate genes for Ascochyta blight resistance in chickpea

SCIENTIFIC REPORTS

IF3.9

2024-12-280

OAAI

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2024-06-016

PRE

Predicting lodging severity in dry peas using UAS-mounted RGB, LIDAR, and multispectral sensors

使用安装在UAS上的RGB，LIDAR和多光谱传感器预测干豌豆的倒伏严重程度

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT

IF4.5

2024-04-011

PRE

Comprehensive wheat lodging detection after initial lodging using UAV RGB images

使用UAV RGB图像进行初始倒伏后的全面小麦倒伏检测

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2024-03-019

PRE

Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting

在自然光照下使用图像处理，机器学习和深度学习方法进行玉米籽粒的内场检测

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2024-03-014

PRE

A Novel Approach to Pod Count Estimation Using a Depth Camera in Support of Soybean Breeding Applications

SENSORS

IF3.5

2023-07-184

OAAI

An Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass

REMOTE SENSING

IF4.1

2023-07-146

Towards reducing chemical usage for weed control in agriculture using UAS imagery analysis and computer vision techniques

SCIENTIFIC REPORTS

IF3.9

2023-04-2117

OAAI

Enhancing Wheat Disease Diagnosis in a Greenhouse Using Image Deep Features and Parallel Feature Fusion

FRONTIERS IN PLANT SCIENCE

IF4.8

2022-03-1015

OAAI

Distinguishing seedling volunteer corn from soybean through greenhouse color, color-infrared, and fused images using machine and deep learning

使用机器和深度学习通过温室颜色，彩色红外和融合图像区分幼苗志愿者玉米和大豆

INDUSTRIAL CROPS AND PRODUCTS

IF6.2

2021-03-0133

OAAI

Technology progress in mechanical harvest of fresh market apples

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2020-08-0183

PREAI

Impacts of winter hay feeding on pasture soils and plants

AGRICULTURE ECOSYSTEMS & ENVIRONMENT

IF6.4

2012-03-0113

PREAI

Patterns in phosphorus and corn root distribution and yield in long-term tillage systems with fertilizer application

长期施肥的长期耕作系统中磷和玉米根系分布和产量的模式

SOIL & TILLAGE RESEARCH

IF6.8

2010-07-0140

PREAI

Paulo Flores

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