Paul Heinemann
Professor of Agricultural and Biological Engineering
-
105 Ag Engineering
University Park, PA - hzh@psu.edu
- 814-865-7792
Huck Affiliations
Publication Tags
These publication tags are generated from the output of this researcher. Click any tag below to view other Huck researchers working on the same topic.
Apples Robotics Orchards Pruning Testing Canopy Malus Test End Effectors Labor Fruits Fruit Flowers Personnel Costs Electronic Nose Heat Transfer Neural Networks Masks Costs And Cost Analysis Unmanned Aerial Vehicles Simulation Orchard Image Processing OdorsMost 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
Green fruit segmentation and orientation estimation for robotic green fruit thinning
Magni Hussain, L He, David Lyons, J Schupp, Paul Heinemann, 2023, Computers and Electronics in Agriculture on p. 12
UAV Photogrammetry-Based Apple Orchard Blossom Density Estimation and Mapping
Wenan Yuan, Weiyun Hua, Paul Heinz Heinemann, Long He, 2023, Horticulturae
Detection and feature analysis of apple fire blight disease using image processing and deep transfer learning
Md Mahmud, L He, Azlan Zahid, Paul Heinemann, Daeun Choi, G Krawczyk, Heping Zhu, 2023, Computers and Electronics in Agriculture on p. 13
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
Unmanned aerial vehicle based tree canopy characteristics measurement for precision spray applications
Md Sultan Mahmud, Long He, Daeun Choi, Heping Zhu, Daeun Choi, Paul Heinemann, Heping Zhu, 2022, Smart Agricultural Technology on p. 100153
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
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
Green Fruit Removal Dynamics for Development of Robotic Green Fruit Thinning End-Effector
Magni Hussain, Long He, James Schupp, Paul Heinemann, Paul Heinemann, James Schupp, 2022, Journal of the ASABE on p. 779-788
A Heat Transfer Model for an Apple Orchard Equipped with Mobile Heaters During Frost
Weiyun Hua, Long He, Paul Heinemann, 2022,
Most-Cited Papers
The development of mechanical apple harvesting technology: A review
Zhao Zhang, Paul Heinemann, Jude Liu, James Schupp, Tara Baugher, 2016, Transactions of the ASABE on p. 1165-1180
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
Design and field test of a low-cost apple harvest-assist unit
Z. Zhang, P. H. Heinemann, J. Liu, J. R. Schupp, T. A. Baugher, 2016, Transactions of the ASABE on p. 1149-1156
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
Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees
Azlan Zahid, Md Mahmud, Long He, Daeun Choi, James Schupp, Paul Heinemann, Paul Heinemann, James Schupp, 2020, Computers and Electronics in Agriculture on p. 105837
Development of a selective automated blossom thinning system for peaches
D. J. Lyons, P. H. Heinemann, J. R. Schupp, T. A. Baugher, J. Liu, 2015, Transactions of the ASABE on p. 1447-1457
Economic analysis of a low-cost apple harvest-assist unit
Zhao Zhang, Paul H. Heinemann, 2017, HortTechnology on p. 240-247
Development of a robotic end-effector for apple tree pruning
Azlan Zahid, L. He, Lihua Zeng, D. Choi, J. Schupp, P. Heinemann, 2020, Transactions of the ASABE on p. 847-856
Design, fabrication, and testing of a low-cost apple harvest-assist device
Zhao Zhang, Paul Heinemann, Jude Liu, James Schupp, Tara Baugher, 2014, on p. 40-50
Prediction of human responses to dairy odor using an electronic nose and neural networks
F. Chang, P. H. Heinemann, 2018, Transactions of the ASABE on p. 399-409
News Articles Featuring Paul Heinemann
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
Aug 15, 2019
Automation on display at Ag Progress Days
A shrinking labor pool has forced farmers both locally and nationally to seek other measures to ensure high yields on their crops while also maintaining human-level efficiency. Researchers at Penn State are looking at ways to mitigate the dwindling labor workforce, and they’ve collaborated with local farmers through automation to help compensate.
Full Article