Juan Landivar - Texas A&M University (TAMU) Scholar

HR job title

Agrilife Center Director

selected publications

academic article
- Bhandari, M., Baker, S., Rudd, J. C., Ibrahim, A., Chang, A., Xue, Q., ... Auvermann, B. (2021). Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. Remote Sensing. 13(6), 1144-1144.
- Chang, A., Jung, J., Yeom, J., Maeda, M. M., Landivar, J. A., Enciso, J. M., Avila, C. A., & Anciso, J. R. (2021). Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation. Journal of Sensors. 2021, 1-14.
- Chang, A., Jung, J., Yeom, J., & Landivar, J (2021). 3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery. Remote Sensing. 13(2), 282-282.
- Chang, A., Yeom, J., Jung, J., & Landivar, J (2020). Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease. Remote Sensing. 12(24), 4122-4122.
- Ashapure, A., Jung, J., Chang, A., Oh, S., Yeom, J., Maeda, M., ... Smith, W (2020). Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data. ISPRS Journal of Photogrammetry and Remote Sensing. 169, 180-194.
- Bhandari, M., Ibrahim, A., Xue, Q., Jung, J., Chang, A., Rudd, J. C., ... Landivar, J. (2020). Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV). Computers and Electronics in Agriculture. 176, 105665-105665.
- Chang, A., Jung, J., Maeda, M. M., Landivar, J. A., Carvalho, H., & Yeom, J. (2020). Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV). Journal of Sensors. 2020, 1-7.
- Ashapure, A., Jung, J., Chang, A., Oh, S., Maeda, M., & Landivar, J (2019). A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data. Remote Sensing. 11(23), 2757-2757.
- Yeom, J., Jung, J., Chang, A., Ashapure, A., Maeda, M., Maeda, A., & Landivar, J. (2019). Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture. Remote Sensing. 11(13), 1548-1548.
- Enciso, J., Avila, C. A., Jung, J., Elsayed-Farag, S., Chang, A., Yeom, J., ... Chavez, J. C. (2019). Validation of agronomic UAV and field measurements for tomato varieties. Computers and Electronics in Agriculture. 158, 278-283.
- Yeom, J., Jung, J., Chang, A., Maeda, M., & Landivar, J (2018). Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data. Remote Sensing. 10(12), 1895-1895.
- Yang, Y., Wilson, L. T., Jifon, J., Landivar, J. A., da Silva, J., Maeda, M. M., Wang, J., & Christensen, E. (2018). Energycane growth dynamics and potential early harvest penalties along the Texas Gulf Coast. Biomass and Bioenergy. 113, 1-14.
- Chen, R., Chu, T., Landivar, J. A., Yang, C., & Maeda, M. M (2018). Monitoring cotton (Gossypium hirsutum L.) germination using ultrahigh-resolution UAS images. Precision Agriculture. 19(1), 161-177.
- Enciso, J., Jung, J., & Chang, A (2018). Assessing land leveling needs and performance with unmanned aerial system. Journal of Applied Remote Sensing. 12(01), 1-1.
- Chu, T., Chen, R., Landivar, J. A., Maeda, M. M., Yang, C., & Starek, M. J (2016). Cotton growth modeling and assessment using unmanned aircraft system visual-band imagery. Journal of Applied Remote Sensing. 10(3), 036018-036018.
- Davidonis, G. H., Johnson, A. S., Landivar, J. A., & Fernandez, C. J (2004). Cotton Fiber Quality is Related to Boll Location and Planting Date. Agronomy Journal. 96(1), 42-42.
- Davidonis, G. H., Johnson, A., Landivar, J. A., & Hood, K. B (1999). The Cotton Fiber Property Variability Continuum from Motes Through Seeds. Textile Research Journal. 69(10), 754-759.
conference paper
- Ashapure, A., Jung, J., Oh, S., Chang, A., Dube, N., & Landivar, J (2020). Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning. 5199-5202.
- Marconi, T., Bhandari, M., Vales, M. I., & Landivar, J. (2020). Unmanned Aerial System (UAS) Based High Throughput Phenotyping (HTP) to Assess Correlations between Potato Crop Growth and Yield. HORTSCIENCE. S290-S290.
- Bhandari, M., Marconi, T., Chang, A., Enciso, J., & Landivar, J (2020). Unmanned Aerial System (UAS)-Based Yield Prediction in Tomato. HORTSCIENCE. S18-S19.
- Marconi, T. G., Oh, S., Ashapure, A., Chang, A., Jung, J., Landivar, J., & Enciso, J (2019). Application of unmanned aerial system for management of tomato cropping system. 35th European Mask and Lithography Conference (EMLC 2019). 1100812-1100812-9.
- Oh, S., Ashapure, A., Marconi, T. G., Jung, J., & Landivar, J (2019). UAS based Tomato Yellow Leaf Curl Virus (TYLCV) disease detection system. 35th European Mask and Lithography Conference (EMLC 2019). 110080p-110080p-7.
- Ashapure, A., Oh, S., Marconi, T. G., Chang, A., Jung, J., Landivar, J., & Enciso, J (2019). Unmanned aerial system based tomato yield estimation using machine learning. 35th European Mask and Lithography Conference (EMLC 2019). 110080o-110080o-10.
- Chang, A., Jung, J., Yeom, J., Maeda, M., & Landivar, J (2017). Sorghum panicle extraction from unmanned aerial system data. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 4350-4353.
- Yeom, J., Jung, J., Chang, A., Maeda, M., & Landivar, J. (2017). Cotton growth modeling using unmanned aerial vehicle vegetation indices. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 5050-5052.
- Boone, M., & Landivar, J. A (1999). Performance of ICEMM: A cotton simulation model in a precision farming study. 1291-1296.
- Lascano, R. J., Baumhardt, R. L., Hicks, S. K., & Landivar, J. A (1999). Spatial and temporal distribution of surface water content in a large agricultural field. 19-30.

first name

Juan

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Landivar

email

jalandivar@tamu.edu

Landivar, Juan Agrilife Center Director

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