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ORCIDJuan Landivar 0001
Person information
- affiliation: Texas A&M AgriLife Research and Extension Center, Corpus Christi, TX, USA
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2020 – today
- 2025
[j20]Pankaj Pal
, Juan Landivar-Bowles, Jose Luis Landivar-Scott, Nick Duffield, Kevin J. Nowka, Jinha Jung, Anjin Chang, Kiju Lee, Lei Zhao, Mahendra Bhandari:
Unmanned aerial system and machine learning driven Digital-Twin framework for in-season cotton growth forecasting. Comput. Electron. Agric. 228: 109589 (2025)- [j19]Benjamin Ghansah, Jose Luis Landivar-Scott, Lei Zhao, Michael J. Starek, Jamie L. Foster, Juan Landivar-Bowles, Mahendra Bhandari:
Satellite vs uncrewed aircraft systems (UAS): Combining high-resolution SkySat and UAS images for cotton yield estimation. Comput. Electron. Agric. 234: 110280 (2025) - 2024
- [j18]Lei Zhao, Dugan Um, Kevin J. Nowka, Jose Luis Landivar-Scott, Juan Landivar, Mahendra Bhandari:
Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks. Comput. Electron. Agric. 226: 109415 (2024) - [j17]Sambandh Bhusan Dhal, Stavros Kalafatis, Ulisses Braga-Neto, Krishna Chaitanya Gadepally, Jose Luis Landivar-Scott, Lei Zhao, Kevin J. Nowka, Juan Landivar, Pankaj Pal, Mahendra Bhandari:
Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. Remote. Sens. 16(11): 1906 (2024) - [j16]Haoyu Niu, Janvita Reddy Peddagudreddygari, Mahendra Bhandari, Juan A. Landivar, Craig W. Bednarz, Nick Duffield:
In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery. Sensors 24(8): 2432 (2024) - 2023
- [c4]Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka:
A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. CISS 2023: 1-4 - 2021
- [j15]Anjin Chang, Jinha Jung, Jose Landivar, Juan Landivar, Bryan Barker, Rajib Ghosh:
Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture. ISPRS Int. J. Geo Inf. 10(10): 677 (2021) - [j14]Anjin Chang, Jinha Jung, Junho Yeom, Murilo M. Maeda, Juan A. Landivar, Juan Enciso, Carlos A. Avila, Juan R. Anciso:
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation. J. Sensors 2021: 8875606:1-8875606:14 (2021) - [j13]Anjin Chang, Jinha Jung, Junho Yeom, Juan Landivar:
3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery. Remote. Sens. 13(2): 282 (2021) - [j12]Mahendra Bhandari, Shannon Baker, Jackie C. Rudd, Amir M. H. Ibrahim, Anjin Chang, Qingwu Xue, Jinha Jung, Juan Landivar, Brent Auvermann:
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping. Remote. Sens. 13(6): 1144 (2021) - 2020
- [j11]Mahendra Bhandari, Amir M. H. Ibrahim, Qingwu Xue, Jinha Jung, Anjin Chang, Jackie C. Rudd, Murilo M. Maeda, Nithya Rajan, Haly Neely, Juan Landivar:
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV). Comput. Electron. Agric. 176: 105665 (2020) - [j10]Anjin Chang, Jinha Jung, Murilo M. Maeda, Juan A. Landivar, Henrique D. R. Carvalho, Junho Yeom:
Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV). J. Sensors 2020: 8899325:1-8899325:7 (2020) - [j9]Sungchan Oh, Anjin Chang, Akash Ashapure, Jinha Jung, Nothabo Dube, Murilo M. Maeda, Daniel Gonzalez, Juan Landivar:
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework. Remote. Sens. 12(18): 2981 (2020) - [j8]Anjin Chang, Junho Yeom, Jinha Jung, Juan Landivar:
Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease. Remote. Sens. 12(24): 4122 (2020) - [c3]Akash Ashapure, Jinha Jung, Sungchan Oh, Anjin Chang, Nothabo Dube, Juan Landivar:
Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning. IGARSS 2020: 5199-5202
2010 – 2019
- 2019
- [j7]Juan Enciso, Carlos A. Avila, Jinha Jung, Sheren Elsayed-Farag, Anjin Chang, Junho Yeom, Juan Landivar, Murilo M. Maeda, Jose C. Chavez:
Validation of agronomic UAV and field measurements for tomato varieties. Comput. Electron. Agric. 158: 278-283 (2019) - [j6]Junho Yeom, Jinha Jung, Anjin Chang, Akash Ashapure, Murilo M. Maeda, Andrea Maeda, Juan Landivar:
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture. Remote. Sens. 11(13): 1548 (2019) - [j5]Akash Ashapure, Jinha Jung, Anjin Chang, Sungchan Oh, Murilo M. Maeda, Juan Landivar:
A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data. Remote. Sens. 11(23): 2757 (2019) - 2018
- [j4]Jinha Jung, Murilo M. Maeda, Anjin Chang, Juan Landivar, Junho Yeom, Joshua McGinty:
Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes. Comput. Electron. Agric. 152: 74-81 (2018) - [j3]Junho Yeom, Jinha Jung, Anjin Chang, Murilo M. Maeda, Juan Landivar:
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data. Remote. Sens. 10(12): 1895 (2018) - 2017
- [j2]Anjin Chang, Jinha Jung, Murilo M. Maeda, Juan Landivar:
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS). Comput. Electron. Agric. 141: 232-237 (2017) - [j1]Juan Enciso, Murilo M. Maeda, Juan Landivar, Jinha Jung, Anjin Chang:
A ground based platform for high throughput phenotyping. Comput. Electron. Agric. 141: 286-291 (2017) - [c2]Anjin Chang, Jinha Jung, Junho Yeom, Murilo M. Maeda, Juan Landivar:
Sorghum panicle extraction from unmanned aerial system data. IGARSS 2017: 4350-4353 - [c1]Junho Yeom, Jinha Jung, Anjin Chang, Murilo M. Maeda, Juan Landivar:
Cotton growth modeling using unmanned aerial vehicle vegetation indices. IGARSS 2017: 5050-5052
Coauthor Index
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