Xin Qiao

发表

Relationship of Soil Moisture and Reflected GPS Signal Strength

Young J. Han, O. Torres, C. Privette, 2016 .

Development of a Low-Cost Internet-of-Things ( IoT ) System for Monitoring Soil Water Potential Using Watermark 200 SS Sensors

J. Payero, A. Khalilian, Xin Qiao, 2017 .

Cotton Water Productivity and Growth Parameters in the Humid Southeast: Experimentation and Modeling

Ahmad Khalilian, Xin Qiao, Edward M. Barnes, 2016 .

Developing effective ground and space-based soil moisture sensing techniques for irrigating cotton in coastal plain soils

Xin Qiao, 2015 .

Within-Field Variability in Granular Matrix Sensor Data and its Implications for Irrigation Scheduling

Daran R. Rudnick, Drew M. Gholson, Geng Bai, 2020 .

Parameterization of FAO aquacrop model for irrigated cotton in the humid southeast U.S.A

Xin Qiao, Xin Qiao, 2012 .

Two source energy balance maize evapotranspiration estimates using close-canopy mobile infrared sensors and upscaling methods under variable water stress conditions

Daran R. Rudnick, Kendall C. DeJonge, Y. Ge, 2022, Agricultural Water Management.

Innovative Extension Methods in the U.S. to Promote Irrigation Water Management

Daran R. Rudnick, S. Taghvaeian, A. Andales, 2020, Transactions of the ASABE.

CanopyCAM – an edge-computing sensing unit for continuous measurement of canopy cover percentage of dry edible beans

Daran R. Rudnick, Y. Ge, Haishun Yang, 2023, Computers and Electronics in Agriculture.

Utilizing digital image processing and two-source energy balance model for the estimation of evapotranspiration of dry edible beans in western Nebraska

Kendall DeJonge, Suat Irmak, Kendall C. DeJonge, 2021, Irrigation Science.

Evaluating Reflected GPS Signal as a Potential Tool for Cotton Irrigation Scheduling

Joe Mari Maja, Ahmad Khalilian, Young J. Han, 2016 .

Developing an Effective Sensor-Based Irrigation Scheduling Technique for Cotton Production in Coastal Plain Soils

Xin Qiao, 2014 .

Differences in soil water changes and canopy temperature under varying water × nitrogen sufficiency for maize

Kendall C. DeJonge, Y. Ge, Geng Bai, 2020, Irrigation Science.

Soil Moisture Mapping Utilizing Space-Based GPS Technology Developed by NASA

Young J. Han, O. Torres, C. Privette, 2014 .

Weather data-centric prediction of maize non-stressed canopy temperature in semi-arid climates for irrigation management

Kendall C. DeJonge, T. Franz, T. Lo, 2023, Irrigation Science.

Evaluation of artificial intelligence algorithms with sensor data assimilation in estimating crop evapotranspiration and crop water stress index for irrigation water management

Kendall C. DeJonge, Y. Ge, T. Franz, 2023, Smart Agricultural Technology.

Evaluating the Effect of Soil Texture on the Response of Three Types of Sensors Used to Monitor Soil Water Status

Ahmad Khalilian, José O. Payero, Ali Mirzakhani-Nafchi, 2017 .

Development of a Low-Cost Internet-of-Things (IoT) System for Monitoring Soil Water Potential Using Watermark 200SS Sensors

Ahmad Khalilian, José O. Payero, Xin Qiao, 2017 .

Evaluation of Soil Moisture Sensing Technologies in Silt Loam and Loamy Sand Soils: Assessment of Performance, Temperature Sensitivity, and Site- and Sensor-Specific Calibration Functions

S. Irmak, Xin Qiao, K. Sharma, 2021, Transactions of the ASABE.