Development of unmanned aerial systems for use in precision agriculture: The AggieAir experience

2015 IEEE Conference on Technologies for Sustainability, SusTech 2015

Volumn , Issue , 2015, Pages 77-82

  Torres Rua, Alfonso ^a   Arab, Manal Al ^a   Hassan Esfahani, Leila ^a   Jensen, Austin ^a   McKee, Mac ^a  

^a NONE

Author keywords

chlorophyll content; evapotranspiration rates; High resolution imagery; leaf nitrogen content; precision agriculture; soil moisture

Indexed keywords

CHLOROPHYLL; CROPS; EVAPOTRANSPIRATION; INFRARED DEVICES; MOISTURE; NITROGEN; REMOTE SENSING; RESEARCH LABORATORIES; SOIL MOISTURE; SPECTROSCOPY; SUSTAINABLE DEVELOPMENT; UNMANNED AERIAL VEHICLES (UAV);

CHLOROPHYLL CONTENTS; HIGH RESOLUTION ESTIMATION; HIGH RESOLUTION IMAGERY; LEAF NITROGEN CONTENT; PRECISION AGRICULTURE; ROOT ZONE SOIL MOISTURES; SCIENTIFIC-GRADE CAMERAS; UTAH STATE UNIVERSITIES;

AGRICULTURE;

EID: 84962074704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SusTech.2015.7314326     Document Type: Conference Paper

References (7)

1. Hassan Esfahani, L., Torres-Rua A., McKee, M. (2015). "Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data". Agricultural Water Management. 2015, 153, 42-50.
2. Hassan Esfahani, L., Torres-Rua A., Jensen A., McKee, M. (2015). Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks. Remote Sensing. 2015; 7(3):2627-2646.
3. Jensen, A. M. A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing. Master's Thesis, Utah State University, Logan, UT, USA, 2009.
4. Hassan Esfahani, L., Torres-Rua A., Jensen A., McKee, M. (2014). "Top soil moisture estimation for precision agriculture using unmmaned aerial vehicle multispectral imagery". Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International.
5. Elarab, M., Ticlavilca, A. M., Torres-Rua, A. F., Maslova, I., McKee, M. (2015). Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture. International Journal of Applied Earth Observation and Geoinformation. http://dx.doi.org/10.1016/j.jag.2015.03.017.
6. Allen, R., Tasumi, M., Trezza, R. (2007). Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)-Model. Journal of Irrigation and Drainage Engineering, 133(4), 380-394.
7. Hassan Esfahani, L. Torres-Rua A., Jensen A., McKee, M. (2015). High-Resolution Root-Zone Soil Water Content Estimation Using Bayesian-Based Artificial Neural Networks and High Resolution Visual, NIR, and Thermal Imagery. Irrigation Science (under review)