Paul Heinemann
Professor of Agricultural and Biological Engineering
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105 Ag Engineering
University Park, PA - hzh@psu.edu
- 814-865-7792
Huck Affiliations
Publication Tags
Robotics Apples Prediction Odors Pruning Neural Networks Dairies Testing Canopy Orchards Test Malus Odor Costs Electronic Nose Personnel Labor Irrigation Sensors (Equipment) Sensors Costs And Cost Analysis Gases Vegetables Method Back PropagationMost Recent Publications
An Apple Tree Branch Pruning Analysis
Azlan Zahid, Md Sultan Mahmud, Long He, James Schupp, Daeun Choi, Paul Heinemann, 2022, HortTechnology on p. 90-98
Green Fruit Removal Dynamics for Development of Robotic Green Fruit Thinning End-Effector
Magni Hussain, Long He, James Schupp, Paul Heinemann, 2022, Journal of the ASABE on p. 779-788
Sensitivity examination of YOLOv4 regarding test image distortion and training dataset attribute for apple flower bud classification
Wenan Yuan, Daeun Choi, Dimitrios Bolkas, Paul Heinz Heinemann, Long He, 2022, International Joural of Remote Sensing on p. 3106-3130
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 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
Investigation of branch accessibility with a robotic pruner for pruning apple trees
Azlan Zahid, Long He, Daeun Choi, James Schupp, Paul Heinemann, 2021, Transactions of the ASABE on p. 1459-1474
Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated neural networks
Fangle Chang, Paul H. Heinemann, 2020, Biosystems Engineering on p. 272-283
Internet of Things (IoT)-based precision irrigation with LoRaWAN technology applied to high tunnel vegetable production
Haozhe Zhang, Long He, Francesco Di Gioia, Daeun Dana Choi, Paul Heinemann, 2020,
Prediction of human assessments of dairy odor utilizing a fast gas chromatograph and neural networks
Fangle Chang, Paul H. Heinemann, 2019, Computers and Electronics in Agriculture on p. 541-548
RootRobot: A field-based platform for maize root system architecture phenotyping
Xiaomeng Shi, Daeun Choi, Paul Heinemann, Molly Hanlon, Jonathan Lynch, 2019,
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
Modeling the inactivation of salmonella typhimurium, listeria monocytogenes, and salmonella enteritidis on poultry products exposed to pulsed UV light
Nene M. Keklik, Ali Demirci, Virendra Puri, Paul Heinz Heinemann, 2012, J.MILK.FOOD TECHNOL. on p. 281-288
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
Development of a selective automated blossom thinning system for peaches
David Lyons, Paul Heinz Heinemann, James Rawlinson Schupp, T. A. Baugher, Jude 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 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
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
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
Optimizing prediction of human assessments of dairy odors using input variable selection
Fangle Chang, Paul H. Heinemann, 2018, Computers and Electronics in Agriculture on p. 402-410
News Articles Featuring Paul Heinemann
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