Paul Heinemann

Professor of Agricultural and Biological Engineering

Paul Heinemann

Huck Affiliations

Publication Tags

Prediction Odors Apples Neural Networks Robotics Dairies Testing Costs Fruits Pruning Malus Odor Personnel Gases Test Computer Vision Orchards Electronic Nose Labor Manipulators End Effectors Fruit Canopy Back Propagation Harvest

Most Recent Papers

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

Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees

Azlan Zahid, Md Sultan Mahmud, Long He, Daeun Choi, Paul Heinemann, James Schupp, 2020, Computers and Electronics in Agriculture

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,

Thermal properties of ‘Gala’ apples during growing season for predicting harvest time

O. Caliskan-Aydogan, H. Yi, J. R. Schupp, D. D. Choi, P. H. Heinemann, V. M. Puri, 2020, Transactions of the ASABE on p. 305-315

Towards image-based measurement of accurate apple size and yield using stereo vision cameras

Omeed Mirbod, Daeun Choi, Paul Heinemann, Richard Marini, 2020,

Development of a robotic end-effector for apple tree pruning

A. Zahid, L. He, L. Zeng, D. Choi, J. Schupp, P. Heinemann, 2020, Transactions of the ASABE on p. 847-856

Collision free path planning of a robotic manipulator for pruning apple trees

Azlan Zahid, Long He, Daeun Dana Choi, James Schupp, Paul Heinemann, 2020,

Prediction of human assessments of dairy odor utilizing a fast gas chromatograph and neural networks

Fangle Chang, Paul Heinz Heinemann, 2019, Computers and Electronics in Agriculture on p. 541-548

Development of a mushroom harvesting assistance system using computer vision

Cheng Hao Lee, Daeun Choi, John Pecchia, Long He, Paul Heinemann, 2019,

Most-Cited Papers

The development of mechanical apple harvesting technology

Z. Zhang, P. H. Heinemann, J. Liu, T. A. Baugher, J. R. Schupp, 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, Journal of Food Protection 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

Brush mechanism for distributing apples in a low-cost apple harvest-assist unit

Zhao Zhang, Paul Heinemann, Jude Liu, James Schupp, Tara Baugher, 2017, Applied Engineering in Agriculture on p. 195-201

Economic analysis of a low-cost apple harvest-assist unit

Zhao Zhang, Paul H. Heinemann, 2017, HortTechnology on p. 240-247

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

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 Heinz Heinemann, 2018, Computers and Electronics in Agriculture on p. 402-410

Prediction of human assessments of dairy odor utilizing a fast gas chromatograph and neural networks

Fangle Chang, Paul Heinz Heinemann, 2019, Computers and Electronics in Agriculture on p. 541-548