default author photo

Yanbo Huang

U.S. Department of Agriculture (USDA)

SCHOLARLY PAPERS

8

DOWNLOADS

558

TOTAL CITATIONS

3

Scholarly Papers (8)

1.

Synthetic Data Augmentation by Diffusion Probabilistic Models to Enhance Weed Recognition

Number of pages: 29 Posted: 12 Apr 2023
Michigan State University, Michigan State University, Michigan State University, Michigan State University, U.S. Department of Agriculture (USDA) and Michigan State University
Downloads 232 (333,232)

Abstract:

Loading...

Computer Vision, Data augmentation, deep learning, generative modeling, Precision Agriculture

Explainable Machine Learning Models for Corn Yield Prediction Using Uav Multispectral Data

Number of pages: 41 Posted: 01 Mar 2024
Mississippi State University, Mississippi State University, U.S. Department of Agriculture (USDA) and U.S. Department of Agriculture (USDA)
Downloads 56 (1,027,773)

Abstract:

Loading...

Corn yield prediction, Ensemble model, Explainable machine learning, Multispectral, UAV

Explainable Machine Learning Models for Corn Yield Prediction Using Uav Multispectral Data

Number of pages: 41 Posted: 24 Dec 2023
Mississippi State University, Mississippi State University, U.S. Department of Agriculture (USDA) and U.S. Department of Agriculture (USDA)
Downloads 47 (1,131,842)

Abstract:

Loading...

Corn, ensemble model, explainable machine learning, multispectral, yield prediction, UAV, precision agriculture

3.

Conv1d-Bilstm-Attention Model: Crop Yield Prediction Via Adaptive Semantic Segmentation on Uas-Based Spatio-Spectral Fusion Data

Number of pages: 30 Posted: 25 Aug 2024
Mississippi State University, Mississippi State University, Mississippi State University, affiliation not provided to SSRN, affiliation not provided to SSRN, U.S. Department of Agriculture (USDA), Mississippi State University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 77 (823,616)

Abstract:

Loading...

Imaging Spectroscopy, Linear Unmixing, Non-binary Segmentation, PLSR, Conv1D-BiLSTM-Attention

4.

Integrating Reinforcement Learning and Large Language Models For Crop Production Process Management Optimization and Control Through a New Knowledge-Based Deep Learning Paradigm

Number of pages: 24 Posted: 15 Oct 2024
Dong Chen and Yanbo Huang
Mississippi State University and U.S. Department of Agriculture (USDA)
Downloads 51 (1,074,648)

Abstract:

Loading...

Crop management, Agricultural cybernetics, Artificial intelligence, Reinforcement learning, Large language models, Foundation models

5.

The Role of Changing Land Use and Irrigation Scheduling in Groundwater Depletion Mitigation in a Humid Region

Number of pages: 35 Posted: 29 Aug 2023
Gary Feng, Wei Jin, Ying Ouyang and Yanbo Huang
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and U.S. Department of Agriculture (USDA)
Downloads 33 (1,277,121)

Abstract:

Loading...

irrigation schedule, land use, Groundwater, SWAT, MODFLOW

6.

Elevation Map-Based Variable Rate Poultry Litter Application is a Promising Method in Cotton Production

Number of pages: 24 Posted: 09 Apr 2024
affiliation not provided to SSRN, U.S. Department of Agriculture (USDA), affiliation not provided to SSRN, Government of the United States of America - US Department of Agriculture, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 30 (1,332,057)

Abstract:

Loading...

site-specific application, animal manure, broiler litter, topographic map, variable fields, cotton lint yield

7.

A Comparative Study of Deep Reinforcement Learning for Crop Production Management

Number of pages: 18 Posted: 06 Nov 2024
University of Texas at Arlington, Mississippi State University, U.S. Department of Agriculture (USDA), University of Texas at Arlington and University of Texas at Arlington
Downloads 27 (1,359,097)
Citation 1

Abstract:

Loading...

Crop production management, Reinforcement Learning, Deep learning, machine learning, Proximal policy optimization, Deep Q-networks, Agriculture

8.

VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture

Number of pages: 12 Posted: 25 May 2026
University of Alabama, U.S. Department of Agriculture (USDA), Michigan State University, Michigan State University, University of Alabama and affiliation not provided to SSRN
Downloads 5 (1,579,934)
Citation 2

Abstract:

Loading...

Federated learning, Object detection, Smart agriculture, Vision Language Model