Xin Zhang

Assistant Professor

Mississippi State University

United States

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About

Dr. Xin Zhang is an Assistant Professor at Mississippi State University, USA. His research encompasses a range of innovative applications in agricultural science, focusing on soil property assessment, climate-resilient crops, and machine learning methodologies for yield prediction. Dr. Zhang's recent publications include studies on hyperspectral imaging, computer vision in food processing, and the effects of environmental stress on crops.

Articles (17)

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2025

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2023

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2023

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Assistant Research Professor

Mississippi State University

UNITED STATES

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Xin Zhang

Research Interests

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Contact this professor

About

Articles (17)

Climate-Resilient Crops: Integrating AI, Multi-Omics, and Advanced Phenotyping to Address Global Agricultural and Societal Challenges

Sweet Potato Yield Prediction Using Machine Learning Based on Multispectral Images Acquired from a Small Unmanned Aerial Vehicle

Assessment of different VisNIR and MIR spectroscopic techniques and the potential of calibration transfer between MIR laboratory and portable instruments to estimate soil properties

FieldSeg: A scalable agricultural field extraction framework based on the Segment Anything Model and 10-m Sentinel-2 imagery

Sweetpotato moisture content and textural property estimation using hyperspectral imaging and machine learning

Context-Aware Deep Learning Model for Yield Prediction in Potato Using Time-Series UAS Multispectral Data

Early-season maize responses to salt stress: Morpho-physiological, leaf reflectance, and mineral composition

Recognition of catfish fillets using computer vision toward automated singulation

Application of UAV Multispectral Imaging to Monitor Soybean Growth with Yield Prediction through Machine Learning

Non-Destructive Assessment of Microbial Spoilage of Broiler Breast Meat Using Structured Illumination Reflectance Imaging with Machine Learning

Comparison of UV, visible and near-infrared, and mid-infrared spectrometers to estimate maize and sorghum leaf nutrients using dry-intact and ground leaves

Estimating depth from RGB images using deep-learning for robotic applications in apple orchards

Early almond yield forecasting by bloom mapping using aerial imagery and deep learning

Development of a singulation system for handling catfish fillets

ResDense-focal-DeepLabV3+ enabled litchi branch semantic segmentation for robotic harvesting

Cutting Techniques in the Fish Industry: A Critical Review

Swin-Transformer-YOLOv5 for Real-Time Wine Grape Bunch Detection

Collaborators (8)

Jagmandeep Dhillon

Raju Bheemanahalli

Yuzhen Lu

Vitor Souza Martins

Changyoon Jeong

Nuwan Wijewardane

Edgar Lobaton

Sathishkumar Samiappan

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