Long He

Assistant Professor of Agricultural and Biological Engineering

Most Recent Publications

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

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

Yanqiu Yang, Priyanka Mali, Lawrence Arthur, Faezeh Molaei, Sena Atsyo, Jiarui Geng, Long He, Shirin Ghatrehsamani, 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

Precision weed management in tree fruit orchards

Lawrence Arthur, Caio Brunharo, Magni Hussain, Long He, 2024, Pennsylvania Fruit News

A low-cost microclimate monitoring system for orchard disease management

Chenchen Kang, Long He, Kari Peter, 2024, Pennsylvania Fruit News

UAV-BASED HIGH-THROUGHPUT PHENOTYPING TO SEGMENT INDIVIDUAL APPLE TREE ROW BASED ON GEOMETRICAL FEATURES OF POLES AND COLORED POINT CLOUD

Wulan Mao, Bryan Murengami, Hanhui Jiang, Rui Li, Long He, Longsheng Fu, 2024, Journal of the ASABE on p. 1231-1240

Heat transfer modeling with fixed and mobile heaters for frost protection in apple orchards

Weiyun Hua, Paul Heinemann, He Long, 2024, Computers and Electronics in Agriculture

Most-Cited Papers

Jing Zhang, Long He, Manoj Karkee, Qin Zhang, Xin Zhang, Zongmei Gao, 2018, Computers and Electronics in Agriculture on p. 386-393

Long He, James Schupp, 2018, Agronomy on p. 211

Azlan Zahid, Md Sultan Mahmud, Long He, Paul Heinemann, Daeun Choi, James Schupp, 2021, Computers and Electronics in Agriculture

Md Sultan Mahmud, Azlan Zahid, Long He, Daeun Choi, Grzegorz Krawczyk, Heping Zhu, Paul Heinemann, 2021, Computers and Electronics in Agriculture

Jianfeng Zhou, Long He, Manoj Karkee, Qin Zhang, 2016, Biosystems Engineering on p. 105-114

Long He, Han Fu, Manoj Karkee, Qin Zhang, 2017, Biosystems Engineering on p. 63-71

Jianfeng Zhou, Long He, Manoj Karkee, Qin Zhang, 2016, Computers and Electronics in Agriculture on p. 282-289

Mingsen Huang, Long He, Daeun Choi, John Pecchia, Yaoming Li, 2021, Computers and Electronics in Agriculture

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

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.

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.

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.

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.

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.