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Young Chang

South Dakota State University

H指数:19

被引数:1,573

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Real-time agricultural image securing system: A selective encryption based approach on edge devices

实时农业图像安全系统：一种基于边缘设备的选择性加密方法

Smart Agricultural Technology

IF5.7

2026-04-010

OAAI

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: The Importance of Animal Science Flight Simulators to Enhance the Competitiveness and Sustainability of Livestock Production

Journal of Animal Science

IF2.9

2025-12-180

OAAI

Development and Evaluation of a Multiaxial Modular Ground Robot for Estimating Soybean Phenotypic Traits Using an RGB-Depth Sensor

AGRIENGINEERING

IF3

2025-03-110

OA

Cyber security in smart agriculture: Threat types, current status, and future trends

智能农业中的网络安全: 威胁类型、现状和未来趋势

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2024-11-010

PRE

Flexible temperature and humidity sensors of plants for precision agriculture: Current challenges and future roadmap

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2024-11-010

PRE

Application of a Real-Time Field-Programmable Gate Array-Based Image-Processing System for Crop Monitoring in Precision Agriculture

AGRIENGINEERING

IF3

2024-09-140

OA

Development and Assessment of a Field-Programmable Gate Array (FPGA)-Based Image Processing (FIP) System for Agricultural Field Monitoring Applications

AGRIENGINEERING

IF3

2023-05-113

OA

Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture

AGRIENGINEERING

IF3

2022-12-2419

OA

A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2021-04-0195

PREAI

Real-Time Detection of Strawberry Powdery Mildew Disease Using a Mobile Machine Vision System

IF3.4

2020-07-1614

OAAI

Time-Cost-Quality Trade-Off in a Broiler Production Project Using Meta-Heuristic Algorithms: A Case Study

AGRICULTURE-BASEL

IF3.6

2019-12-2011

OA

Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2019-07-0125

OAAI

Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection (vol 158, pg 219, 2019)

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2019-05-010

PREAI

Current and future applications of statistical machine learning algorithms for agricultural machine vision systems

COMPUTERS AND ELECTRONICS IN AGRICULTURE

IF8.9

2019-01-01245

PREAI

Machine vision smart sprayer for spot-application of agrochemical in wild blueberry fields

PRECISION AGRICULTURE

IF6.6

2018-01-0337

PREAI

Sensing and control system for spot-application of granular fertilizer in wild blueberry field

PRECISION AGRICULTURE

IF6.6

2016-05-256

PREAI

Economic analysis for smart sprayer application in wild blueberry fields

PRECISION AGRICULTURE

IF6.6

2016-04-0522

PREAI

Estimation of the rootzone depth above a gravel layer (in wild blueberry fields) using electromagnetic induction method

PRECISION AGRICULTURE

IF6.6

2015-08-156

PREAI

Effect of lighting conditions and ground speed on performance of intelligent fertilizer spreader for spot-application in wild blueberry

PRECISION AGRICULTURE

IF6.6

2015-05-264

PRE

A dual-view computer-vision system for volume and image texture analysis in multiple apple slices drying (vol 127, pg 49, 2014)

JOURNAL OF FOOD ENGINEERING

IF5.8

2014-06-010

PREAI