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Jose Landivar

Texas A&M University System - Texas A&M AgriLife Research

600 John Kimbrough Boulevard

Suite 512

College Station, TX 77843

United States

  • Texas A&M University System - Texas A&M AgriLife Research

SCHOLARLY PAPERS

5

DOWNLOADS

336

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Cotton Yield Prediction Utilizing Unmanned Aerial Vehicles (Uav) and Bayesian Neural Networks

Number of pages: 46 Posted: 13 Jan 2024
Lei Zhao, Mahendra Bhandari, Dugan Um, Kevin Nowka, Jose Landivar and Juan Landivar
affiliation not provided to SSRN, Texas A&M University System - Texas A&M AgriLife Research, Texas A&M University Corpus Christi, affiliation not provided to SSRN, Texas A&M University System - Texas A&M AgriLife Research and Texas A&M University System - Texas A&M AgriLife Research
Downloads 156 (482,968)

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Unmanned Aerial Vehicle (UAV), Bayesian Neural Network (BNN), Remote Sensing, Artificial Intelligence, Digital Agriculture

2.

Satellite vs Uncrewed Aircraft Systems (Uas): Comparing High-Resolution Skysat and Uas Images for Cotton Yield Estimation

Number of pages: 58 Posted: 14 Dec 2024
Benjamin Ghansah, Jose Landivar, Lei Zhao, Michael Starek, Jamie Foster, Juan Landivar and Mahendra Bhandari
affiliation not provided to SSRN, Texas A&M University System - Texas A&M AgriLife Research, Texas A&M University, affiliation not provided to SSRN, affiliation not provided to SSRN, Texas A&M University System - Texas A&M AgriLife Research and Texas A&M University System - Texas A&M AgriLife Research
Downloads 78 (830,555)

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Satellite, UAS, Precision Agriculture, Yield Prediction

3.

A Novel Approach to Estimate Crop Canopy Cover Using Bayesian Deep Autoencoder Model-Based Unmanned Aerial Vehicle (Uav) and Satellite Image Fusion

Number of pages: 28 Posted: 27 May 2025
Lei Zhao, Ashutosh Tiwari, Dugan Um, Sayantan Sarkar, Jose Landivar, Francisco M. Gaona, Juan Landivar and Mahendra Bhandari
Texas A&M University, Texas A&M University, Texas A&M University Corpus Christi, Texas A&M University, Texas A&M University System - Texas A&M AgriLife Research, affiliation not provided to SSRN, Texas A&M University System - Texas A&M AgriLife Research and Texas A&M University System - Texas A&M AgriLife Research
Downloads 49 (1,109,210)

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image fusion, satellite, agriculture, UAV, remote sensing

4.

A Double-Sigmoid Approach for High-Throughput Phenotyping of Winter Wheat Growth Dynamics

Number of pages: 38 Posted: 18 Oct 2025
Shannon Baker, Lei Zhao, Jose Landivar, Jackie Rudd, Amir Ibrahim, Juan Landivar, Jinha Jung, Shuyu Liu, Kevin Nowka and Mahendra Bhandari
Texas A&M University, Texas A&M University, Texas A&M University System - Texas A&M AgriLife Research, affiliation not provided to SSRN, Texas A&M University, Texas A&M University System - Texas A&M AgriLife Research, Purdue University, Texas A&M University, affiliation not provided to SSRN and Texas A&M University System - Texas A&M AgriLife Research
Downloads 38 (1,222,651)

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High-throughput phenotyping, UAS, Winter Wheat, Double-sigmoid model, Canopy Cover, Growth Dynamics, Plant Breeding

5.

Strategically Timed UAS Data Acquisition for Wheat Yield Prediction Using Explainable AI: A Multi-Year Phenology-Aligned Study

Number of pages: 45 Posted: 05 Jun 2026
Shannon Baker, Md Nafiul Islam, Mahendra Bhandari, Anjin Chang, Amir Ibrahim, Jinha Jung, Juan Landivar, Shuyu Liu, Varenya Sri Mudumba, Ritik Pokharel, Jackie Rudd, Jose Landivar and Thanos Gentimis
Texas A&M University, Texas A&M University, Texas A&M University System - Texas A&M AgriLife Research, Michigan State University, Texas A&M University, Purdue University, Texas A&M University System - Texas A&M AgriLife Research, Texas A&M University, Texas A&M University, affiliation not provided to SSRN, Texas A&M University, Texas A&M University System - Texas A&M AgriLife Research and Texas A&M University
Downloads 15

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Explainable artificial intelligence, vegetation indices, wheat, Yield prediction, Unoccupied Aerial Systems, Temporal Feature Importance, Days Relative to Heading