Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture

​YangQuan Chen received his PhD degree in advanced control and instrumentation from the Nanyang Technological University in Singapore. Currently, he is a full professor at the University of California Merced. His Mechatronics, Embedded Systems and Automation (MESA) Lab at UC Merced is emerging as a widely known “drone lab” with the vision to build an “agriculture drone valley” in California’s Central Valley. The lab’s work on low-cost, reliably airworthy, multispectral UAV-based remote sensing systems helps create a new type of information services valuable not only for farming and growing, but also for environmental monitoring and assessment. Prof Chen has published over 300 peer-reviewed paper and more than 20 books/book chapters.

• Chapter 1:  Introduction.- Chapter 2:  ET Estimation Methods with UAVs:  A Comprehensive Review.- Chapter 3:  Existing ET Estimation Methods with UAVs: Results and Discussions.- Chapter 4: Estimating Actual Crop Evapotranspiration Using Deep Stochastic Configuration Networks Model and UAV-based Crop Coefficients in A Pomegranate Orchard.- Chapter 5: Reliable Tree-level Evapotranspiration Estimation of Pomegranate Trees Using Lysimeter and UAV Multispectral Imagery.- Chapter 6: Tree-level Water Status Inference Using UAV Thermal Imagery and Machine Learning.- Chapter 7: Conclusion and Future Research.