Long He
Assistant Professor of Agricultural and Biological Engineering
- 223 Musselman
- luh378@psu.edu
- 717-677-6116
Most Recent Publications
Development of a Machine vision system for apple bud thinning in precision crop load management
Kittiphum Pawikhum, Yanqiu Yang, Long He, Paul Heinemann, 2025, Computers and Electronics in Agriculture
MetaFruit meets foundation models: Leveraging a comprehensive multi-fruit dataset for advancing agricultural foundation models
Jiajia Li, Kyle Lammers, Xunyuan Yin, Xiang Yin, Long He, Jun Sheng, Renfu Lu, Zhaojian Li, 2025, Computers and Electronics in Agriculture
A recursive segmentation model for bok choy growth monitoring with Internet of Things (IoT) technology in controlled environment agriculture
Chenchen Kang, Xinyang Mu, Aline Novaski Seffrin, Francesco Di Gioia, Long He, 2025, Computers and Electronics in Agriculture
Precision heating strategy based dynamic heater path planning for frost protection in apple orchards
Weiyun Hua, Long He, Paul Heinemann, Minghui Zhu, 2025, Biosystems Engineering on p. 117-132
DESIGN OF END-EFFECTORS FOR THINNING APPLE IN THE GREEN FRUIT STAGE
Kittiphum Pawikhum, Long He, Paul Heinemann, Randall Bock, 2025, Journal of the ASABE on p. 465-476
Advanced technologies for precision tree fruit disease management: A review
Yanqiu Yang, Priyanka Mali, Lawrence Arthur, Faezeh Molaei, Sena Atsyo, Jiarui Geng, Long He, Shirin Ghatrehsamani, 2025, Computers and Electronics in Agriculture
Frost management in agriculture with advanced sensing, modeling, and artificial intelligent technologies: A review
Weiyun Hua, Paul Heinemann, Long He, 2025, Computers and Electronics in Agriculture
Assessment of spray patterns and efficiency of an unmanned sprayer used in planar growing systems
Chenchen Kang, Long He, Heping Zhu, 2024, Precision Agriculture on p. 2271-2291
A low-cost microclimate monitoring system for orchard disease management
Chenchen Kang, Long He, Kari Peter, 2024, Pennsylvania Fruit News
Precision weed management in tree fruit orchards
Lawrence Arthur, Caio Brunharo, Magni Hussain, Long He, 2024, Pennsylvania Fruit News
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
Technological advancements towards developing a robotic pruner for apple trees: A review
Azlan Zahid, Md Sultan Mahmud, Long He, Paul Heinemann, Daeun Choi, James Schupp, 2021, Computers and Electronics in Agriculture
Apple fruit recognition algorithm based on multi-spectral dynamic image analysis
Juan Feng, Lihua Zeng, Long He, 2019, Sensors
Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications
Md Sultan Mahmud, Azlan Zahid, Long He, Daeun Choi, Grzegorz Krawczyk, Heping Zhu, Paul Heinemann, 2021, Computers and Electronics in Agriculture
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
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
Picking dynamic analysis for robotic harvesting of Agaricus bisporus mushrooms
Mingsen Huang, Long He, Daeun Choi, John Pecchia, Yaoming Li, 2021, Computers and Electronics in Agriculture
On-tree apple fruit size estimation using stereo vision with deep learning-based occlusion handling
Omeed Mirbod, Daeun Choi, L He, Paul Heinemann, Paul Heinemann, Long He, Richard P. Marini, Richard Marini, 2022, Biosystems Engineering on p. 27-42
News Articles Featuring Long He
Jul 15, 2025
What if Pennsylvania apples disappeared?
Penn State’s fruit tree task force helps farmers protect both their harvest and their future. From hands-on support to innovative blossom-thinning techniques, the work of Penn State researchers and educators is vital for the success of agriculture across the commonwealth.
Full Article
Apr 25, 2025
Are drones the future of tree fruit production? Researchers investigate
A team of researchers in Penn State’s College of Agricultural Sciences is addressing the growing interest among tree fruit growers in Pennsylvania and the Northeast in adopting drone-based spraying systems for high-density apple and peach orchards.
Full Article
Mar 21, 2025
Machine Vision System Monitors Greenhouse-Grown Specialty Crop
Penn State researchers developed a machine vision system, including an AI-enabled image segmentation model, to monitor individual plants.
Full Article
Feb 27, 2025
New computer vision system can guide specialty crops monitoring
The technology applies an internet of things and artificial intelligence to enhance controlled environment agriculture in advanced greenhouse scenario.
Full Article
Oct 25, 2024
Research team gets grant to study precision chemical thinning of apple blossoms
To assist apple producers and mitigate environmental harm, the USDA has awarded a three-year, $601,125 grant to a team of Penn State researchers for the development of a robotic precision spraying system.
Full Article
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.
Full Article