Welcome to MU paal

The University of Missouri (Mizzou) Precision and Automated Agriculture Lab (PAAL) is part of the Department of Agricultural Systems Management and Division of Food Systems and Bioengineering. With the focus of agricultural automation, research area involves a large range of targets, including sensing technologies in precision agriculture and phenomics (high throughput crop phenotyping), and mechanical and robotic technologies in crop harvesting, management and breeding. Most research projects will be multidisciplinary, with close collaboration with experts in Engineering, Plant Science (breeding, plant physiology, stress biology), Agronomy and other crop related professionals. By engineering crops with state-of-art technologies, reseaches will boost the solutions for world hunger and labor issues.


Our Mission

My research goal is to discover and develop new technologies for crop production, management and breeding. Current research focuses on Integration of sensing and robotic technologies to improve crop management, production and phenotyping. The objectives include:

(1) Mechanical and automation (robotic) technologies for tree-fruit and row crop management and harvesting
(2) Proximal and unmanned aerial system (UAS)-based remote sensing system for crop scouting and water, nutrition and soil management
(3) Unmanned ground vehicle (UGV) for autonomous field data collection and high throughput phenotyping
(4) Internet-of-things (IoT)-based data-driven decision support system for precision crop management
(5) Big data driven agricultural systems management

Lab News

(03-27-19): Meina's paper "Cotton yield prediction using remote visual and spectral images captured by UAV system" was accepted by the journal of Transactions of the Chinese Society of Agriculture Engineering. Congratulations!  

(02-17-19): Aijing's paper "Cotton yield estimation using UAV-based multiple imagery" was submitted to the journal of Biosystems Engineering. Congratulations!  

(02-01-19): Aijing's paper "Cotton yield estimation using UAV-based plant height" was accepted by the journal of Transactions of ASABE. Congratulations!