Long He

Assistant Professor of Agricultural and Biological Engineering

Publication Tags

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Fruits Fruit Apples Orchards Canopy Malus Image Analysis Prunus Avium Color Damage Detection Orchard Effect Heat Transfer Remote Sensing Fruiting Neural Networks Vegetation Index Test Masks Energy Analysis Pruning Erwinia Amylovora Flowers

Most Recent Publications

Detection and infected area segmentation of apple fire blight using image processing and deep transfer learning for site-specific management

Md Sultan Mahmud, Long He, Azlan Zahid, Paul Heinemann, Daeun Choi, Grzegorz Krawczyk, Heping Zhu, 2023, Computers and Electronics in Agriculture

Mask R-CNN based apple flower detection and king flower identification for precision pollination

Xinyang Mu, Long He, Paul Heinemann, James Schupp, Manoj Karkee, 2022, Smart Agricultural Technology on p. 10

Remote sensing detection algorithm for apple fire blight based on UAV multispectral image

Deqin Xiao, Yongqi Pan, Jianzhao Feng, Jianjun Yin, Youfu Liu, Long He, 2022, Computers and Electronics in Agriculture

Variable rate Technologies for Precision Agriculture

Long He, 2022, on p. 1-9

Smart Irrigation in Orchards

Hemantkumar Gohil, Long He, 2022,

An Apple Tree Branch Pruning Analysis

Azlan Zahid, Md S Mahmud, Long He, James Schupp, Daeun Choi, Paul Heinemann, 2022, HortTechnology on p. 90-98

DEVELOPMENT OF AN AUTOMATIC AIRFLOW CONTROL SYSTEM FOR PRECISION SPRAYERS BASED ON TREE CANOPY DENSITY

Md Sultan Mahmud, Azlan Zahid, Long He, Heping Zhu, Daeun Choi, Paul Heinemann, Grzegorz Krawczy, Daeun Choi, Grzegorz Krawczyk, Paul Heinemann, 2022, Journal of the ASABE on p. 1225-1240

Robotic tree fruit harvesting: status, challenges, and prosperities

Long He, Azlan Zahid, Md Sultan Mahmud, 2022, on p. 299-332

A Heat Transfer Model for an Apple Orchard Equipped with Mobile Heaters During Frost

Weiyun Hua, Long He, Paul Heinemann, 2022,

Sensitivity examination of YOLOv4 regarding test image distortion and training dataset attribute for apple flower bud classification

Wenan Yuan, D Choi, Dimitrios Bolkas, Paul Heinz Heinemann, Long He, 2022, International Joural of Remote Sensing on p. 3106-3130

Most-Cited Papers

Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)

Jing Zhang, Long He, Manoj Karkee, Qin Zhang, Xin Zhang, Zongmei Gao, 2018, Computers and Electronics in Agriculture on p. 386-393

Sensing and automation in pruning of apple trees: A review

Long He, James Schupp, 2018, Agronomy on p. 211

Effect of catching surface and tilt angle on bruise damage of sweet cherry due to mechanical impact

Jianfeng Zhou, Long He, Manoj Karkee, Qin Zhang, 2016, Computers and Electronics in Agriculture on p. 282-289

Apple fruit recognition algorithm based on multi-spectral dynamic image analysis

Juan Feng, Lihua Zeng, Long He, 2019, Sensors

Effect of excitation position of a handheld shaker on fruit removal efficiency and damage in mechanical harvesting of sweet cherry

Jianfeng Zhou, Long He, Qin Zhang, Manoj Karkee, 2014, Biosystems Engineering on p. 36-44

Analysis of shaking-induced cherry fruit motion and damage

Jianfeng Zhou, Long He, Manoj Karkee, Qin Zhang, 2016, Biosystems Engineering on p. 105-114

Effect of fruit location on apple detachment with mechanical shaking

Long He, Han Fu, Manoj Karkee, Qin Zhang, 2017, Biosystems Engineering on p. 63-71

Evaluation of the influence of shaking frequency and duration in mechanical harvesting of sweet cherry

J. Zhou, L. He, Q. Zhang, X. Du, D. Chen, M. Karkee, 2013, Applied Engineering in Agriculture on p. 607-612

Shake-And-catch harvesting for fresh market apples in trellis-Trained trees

L. He, H. Fu, D. Sun, M. Karkee, Q. Zhang, 2017, Transactions of the ASABE on p. 353-360

Energy efficacy analysis of a mechanical shaker insweet cherry harvesting

Long He, Jianfeng Zhou, Xiaoqiang Du, Du Chen, Qin Zhang, Manoj Karkee, 2013, Biosystems Engineering on p. 309-315

News Articles Featuring Long He

Jan 26, 2023

Machine vision system developed capable of locating king flowers on apple trees

A machine vision system capable of locating and identifying apple king flowers within clusters of blossoms on trees in orchards was devised by Penn State researchers — a critical early step in the development of a robotic pollination system — in a first-of-its-kind study.

Full Article

Jul 18, 2022

Agricultural engineers design early step for robotic, green-fruit thinning

Penn State agricultural engineers have developed, for the first time, a prototype “end-effector” capable of deftly removing unwanted apples from trees — the first step toward robotic, green-fruit thinning.