Towards Tree-Level Evapotranspiration Estimation with Small Uavs in Precision Agriculture

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

​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.