Juan Landivar

According to our database, Juan Landivar authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops.

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

Remote. Sens., June, 2024

In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery.

Haoyu Niu, Janvita Reddy Peddagudreddygari, Mahendra Bhandari, Juan Landivar, Craig W. Bednarz, Nick Duffield

Sensors, April, 2024

Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks.

Lei Zhao, Dugan Um, Kevin J. Nowka, Jose Luis Landivar-Scott, Juan Landivar, Mahendra Bhandari

Comput. Electron. Agric., 2024

2023

A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops.

Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2021

3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery.

Anjin Chang, Jinha Jung, Junho Yeom, Juan Landivar

Remote. Sens., 2021

Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping.

Mahendra Bhandari, Shannon Baker, Jackie C. Rudd, Amir M. H. Ibrahim, Anjin Chang, Qingwu Xue, Jinha Jung, Juan Landivar, Brent Auvermann

Remote. Sens., 2021

Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation.

Anjin Chang, Jinha Jung, Junho Yeom, Murilo M. Maeda, Juan Landivar, Juan Enciso, Carlos A. Avila, Juan R. Anciso

J. Sensors, 2021

Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture.

Anjin Chang, Jinha Jung, Jose Landivar, Juan Landivar, Bryan Barker, Rajib Ghosh

ISPRS Int. J. Geo Inf., 2021

2020

Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework.

Sungchan Oh, Anjin Chang, Akash Ashapure, Jinha Jung, Nothabo Dube, Murilo M. Maeda, Daniel Gonzalez, Juan Landivar

Remote. Sens., 2020

Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease.

Anjin Chang, Junho Yeom, Jinha Jung, Juan Landivar

Remote. Sens., 2020

Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV).

Anjin Chang, Jinha Jung, Murilo M. Maeda, Juan Landivar, Henrique D. R. Carvalho, Junho Yeom

J. Sensors, 2020

Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV).

Mahendra Bhandari, Amir M. H. Ibrahim, Qingwu Xue, Jinha Jung, Anjin Chang, Jackie C. Rudd, Murilo M. Maeda, Nithya Rajan, Haly Neely, Juan Landivar

Comput. Electron. Agric., 2020

Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters of a Cotton Crop Using Machine Learning.

Akash Ashapure, Jinha Jung, Sungchan Oh, Anjin Chang, Nothabo Dube, Juan Landivar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture.

Junho Yeom, Jinha Jung, Anjin Chang, Akash Ashapure, Murilo M. Maeda, Andrea Maeda, Juan Landivar

Remote. Sens., 2019

A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data.

Akash Ashapure, Jinha Jung, Anjin Chang, Sungchan Oh, Murilo M. Maeda, Juan Landivar

Remote. Sens., 2019

Validation of agronomic UAV and field measurements for tomato varieties.

Juan Enciso, Carlos A. Avila, Jinha Jung, Sheren Elsayed-Farag, Anjin Chang, Junho Yeom, Juan Landivar, Murilo M. Maeda, Jose C. Chavez

Comput. Electron. Agric., 2019

2018

Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data.

Junho Yeom, Jinha Jung, Anjin Chang, Murilo M. Maeda, Juan Landivar

Remote. Sens., 2018

Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes.

Jinha Jung, Murilo M. Maeda, Anjin Chang, Juan Landivar, Junho Yeom, Joshua McGinty

Comput. Electron. Agric., 2018

2017

A ground based platform for high throughput phenotyping.

Juan Enciso, Murilo M. Maeda, Juan Landivar, Jinha Jung, Anjin Chang

Comput. Electron. Agric., 2017

Crop height monitoring with digital imagery from Unmanned Aerial System (UAS).

Anjin Chang, Jinha Jung, Murilo M. Maeda, Juan Landivar

Comput. Electron. Agric., 2017

Cotton growth modeling using unmanned aerial vehicle vegetation indices.

Junho Yeom, Jinha Jung, Anjin Chang, Murilo M. Maeda, Juan Landivar

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Sorghum panicle extraction from unmanned aerial system data.

Anjin Chang, Jinha Jung, Junho Yeom, Murilo M. Maeda, Juan Landivar

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017