selected publications
Academic Articles17
  • 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.
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  • 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.
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  • 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.
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  • 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.
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Conference Papers10
  • 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. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. 00, 5199-5202.
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  • 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. 55(9), S290-S290.
  • Bhandari, M., Marconi, T., Chang, A., Enciso, J., & Landivar, J (2020). Unmanned Aerial System (UAS)-Based Yield Prediction in Tomato. HORTSCIENCE. 55(9), 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. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. 11008, 1100812-1100812-9.
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  • Oh, S., Ashapure, A., Marconi, T. G., Jung, J., & Landivar, J (2019). UAS based Tomato Yellow Leaf Curl Virus (TYLCV) disease detection system. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV. 11008, 110080p-110080p-7.
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Email
jalandivar@tamu.edu
First Name
Juan
Last Name
Landivar