Paul Heinemann, Ph.D.

Education

• Ph.D. Agricultural Meteorology—University of Florida, December, 1985. Dissertation work involved simulation models for the prediction of cooling of the environment during Florida frost nights using planetary boundary layer and surface energy balance models.
• M.S. Agricultural Engineering—Pennsylvania State University, November, 1982. Thesis project involved development of a specialized sensor to detect damaging temperatures in apple orchards during frost nights.
• B.S. Meteorology—Pennsylvania State University, May, 1980.

Teaching

• ABE 559 - Biological and Agricultural Systems Simulation
• BRS 490 - BRS Colloquium

For information about courses please visit the LionPATH Course Catalog.

Professional Experience

• Professor Of Agricultural And Biological Engineering - Department of Agricultural and Biological Engineering. July, 1999-present.
• Department Head - Department of Agricultural and Biological Engineering. July, 2010-July 2021.
• Associate Professor Of Agricultural Engineering - Department of Agricultural and Biological Engineering. July, 1994-June, 1999.
• Assistant Professor Of Agricultural Engineering - Pennsylvania State University, Department of Agricultural and Biological Engineering. September, 1988-June, 1994.
• Post-Doctorate Project Assistant - Pennsylvania State University, Department of Entomology. January, 1987-August, 1988. Integrated Pest Management expert systems programmer and programmer manager.
• Post-Doctorate Project Assistant - Pennsylvania State University, Department of Agricultural Engineering. January, 1986-September, 1987. Greenhouse systems modeling, plant tissue cultures.

Research Interests and Responsibilities

• Specialty crop mechanization and automation
• Precision agriculture applications for specialty crops
• Applications of artificial intelligence to agricultural systems management and control

Memberships in Professional Societies

• American Society of Agricultural and Biological Engineers

Recent Publications

• Zhang, H., He, L., Di Gioia, F. Choi, D., Elia, A. Heinemann, P.H. 2022. Lorawan based internet of things (IoT) system for precision irrigation in plasticulture fresh-market tomato. Smart Agricultural Technology, 2, p.100053.
• Hussain, M., He, L., Heinemann, P.H., Schupp, J.R. 2022. Green fruit removal dynamics for robotic green fruit thinning end-effector development. Journal of the ASABE. 65(4): 779-788.
• Yuan, W., Choi, D., Bolkas, D., Heinemann, P.H. and He, L., 2022. Sensitivity examination of YOLOv4 regarding test image distortion and training dataset attribute for apple flower bud classification. International Journal of Remote Sensing, 43(8), pp.3106-3130.
• Zahid, A., Mahmud, M.S., He, L., Schupp, J.M., Choi, D., Heinemann, P.H. 2022. An apple tree branch pruning analysis. HortTechnology. 32(2):90-98.
• Zahid, A., He, L., Choi, D. Schupp, J., Heinemann, P.H. 2021. Investigation of branch accessibility with a robotic pruner for pruning apple trees. Transactions of ASABE. 64(5): 1459-1474.
• Zahid, A., Mahmud, M.S., He, L., Heinemann, P.H., Choi, D. Schupp, J.M. 2021. Technological Advancements Towards Developing a Robotic Pruner for Apple Trees: A Review. Computers and Electronics in Agriculture. 189.
• Mahmud, M.S., Zahid, A., He, L., Choi, D. Krawczyk, G., Zhu, H., Heinemann, P.H. 2021. Development of a LiDAR-guided section-based tree canopy density measurement for precision spray applications.  Computers and Electronics in Agriculture. 182. 13 pp.
• Zahid, A., He, L., Zeng, L., Choi, D., Schupp, J., & Heinemann, P. 2020. Development of a robotic end-effector for apple tree pruning. Transactions of the ASABE. 63(4): 847-856. 
• Chang, F., & Heinemann, P. 2020. Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated Neural Networks.  Biosystems Engineering. 200:272-283. 
• Zahid, A., Mahmud, M.S., He, L. Choi, D., Heinemann, P.H., & Schupp, J. 2020. Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees. Computers and Electronics in Agriculture. 179.
• Zahid, A., He, L., Zeng, L., Choi, D., Schupp, J., & Heinemann, P. 2020. Development of a robotic end-effector for apple tree pruning. Transactions of the ASABE. 63(4): 847-856.
• Chang, F., & Heinemann, P. 2020. Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated Neural Networks.  Biosystems Engineering. 200:272-283.
• Zahid, A., Mahmud, M.S., Choi, D., Heinemann, P.H., & Schupp, J. 2020. Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees. Computers and Electronics in Agriculture. 179.
• Caliskan-Aydogan, O., H. Yi, J.R. Schupp, D. Choi, P.H. Heinemann, and V.M. Puri. 2020. Thermal properties of the ‘gala’ apple during the growing season for predicting harvest time. Transactions of ASABE. 63(2):305-315. 
• Chang, F., and P.H. Heinemann. 2019. Prediction of human assessments of dairy odor utilizing a fast gas chromatograph and neural networks. Computers and Electronics in Agriculture. 157:541-548.
• Chang, F., and P.H. Heinemann. 2018. Optimizing prediction of human assessments of dairy odors using input variable selection. Computers and Electronics in Agriculture. 150:402-210.
• Chang, F., and P.H. Heinemann. 2018. Prediction of human responses to dairy odor utilizing electronic nose and neural networks. Transactions of the ASABE. 61(2): 399-409.
• Zhang, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2017. Brush mechanism for distributing apples in a low-cost apple harvest-assist unit. Applied Eng. in Ag. 33(2):195-201. 
• Zhang, Z., and P.H. Heinemann. 2017. Economic analysis of a low-cost apple harvest-assist unit. HortTechnology. 27(2):240-247.   
• Zhang, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2016. Design and field test of a low-cost apple harvest-assist unit. Transactions of ASABE. 59(5):1165-1180. 
• Zhang, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2016. Development of mechanical apple harvesting technology – a review. Transactions of ASABE. 59(5):1149-1156. 
• Julius, C., P.H. Heinemann, D.H. Schaufler, G.W. Roth, J. Liu, and A.L. Boehman. 2016. Straight vegetable oil as a replacement fuel for diesel: Comparing tractor performance in stationary and field tests. Transactions of ASABE. 59(6):1137-1148 
• Lyons, D.J., P.H. Heinemann, J. Liu, J., J.R. Schupp, and T.A. Baugher. 2015. Development of a selective automated blossom thinning system for peaches. Transactions of ASABE. 58(6):1447-1457. 
• Keklik, N. M., A. Demirci, V. M. Puri, and P. H. Heinemann. 2012. Modeling the inactivation of Salmonella Typhimurium, Listeria monocytogenes, and Salmonella Enteritidis on poultry products exposed to pulsed UV-light. J Food Protection 75(2): 281-288. 
• Bechara, M.A., P.H. Heinemann, P.N. Walker, and C.P. Romaine. 2011. A Two-phase Solid-state Fermentation Process for Mushroom (Agaricus bisporus) Production on Cereal Grains. Biological Engineering Transactions. 4(4): 219-229. 
• Williams, A.L., P.H. Heinemann, C.J. Wysocki, D.M. Beyer, and R.E. Graves. 2010. Prediction of odor pleasantness using electronic nose technology and artificial neural networks. Applied Engineering in Agriculture. 26(2):343-350. 
• Baugher, T. , J. Schupp, K. Ellis, J. Remcheck, E. Winzeler, R. Duncan, S. Johnson, K. Lewis, G. Reighard, G. Henderson, M. Norton, A. Dhaddey, and P. Heinemann. 2010. String Blossom Thinner Designed for Variable Tree Forms Increases Crop Load Management Efficiency in Trials in Four U.S. Peach Growing Regions. HortTechnology. 20(2): 409-414.