Maitiniyazi Maimaitijiang

South Dakota State University — United States

Environmental Science · Physical Sciences

26h-index4.5kcitations50works9.22yr avg
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Research Topics

Remote Sensing in Agriculture(35), Remote Sensing and LiDAR Applications(17), Smart Agriculture and AI(16), Spectroscopy and Chemometric Analyses(9), Remote-Sensing Image Classification(7)

Publications50 total

WheatAI v1.0: An AI-Powered High Throughput Wheat Phenotyping Platform
arXiv (Cornell University)·2026Open Access
WheatAI v1.0: An AI-Powered High Throughput Wheat Phenotyping Platform
ArXiv.org·2026Open Access
Grading of Specialty-Grade Coffea arabica Beans Using Digital Imaging and Machine Learning
Food Analytical Methods·2026· 1 citedOpen Access
Development and Evaluation of a Multiaxial Modular Ground Robot for Estimating Soybean Phenotypic Traits Using an RGB-Depth Sensor
AgriEngineering·2025Open Access
Wheat Fusarium Head Blight Disease Severity Estimation using UAS Multispectral Imagery and Machine Learning
2024
Rapid estimation of DON content in wheat flour using close‐range hyperspectral imaging and machine learning
The Plant Phenome Journal·2024· 7 citedOpen Access
Using gross primary production data and deep transfer learning for crop yield prediction in the US Corn Belt
International Journal of Applied Earth Observation and Geoinformation·2024· 29 citedOpen Access
Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat
The Plant Genome·2024· 18 citedOpen Access
Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning
Frontiers in Plant Science·2024· 28 citedOpen Access
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning
Sensors·2023· 27 citedOpen Access
Wheat Fusarium Head Blight (FHB) Disease Severity Estimation using UAV Multispectral Imagery and Machine Learning
2023Open Access
Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data
2023
Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data
2023· 5 cited
Utility of daily 3 m Planet Fusion Surface Reflectance data for tillage practice mapping with deep learning
Science of Remote Sensing·2023· 9 citedOpen Access
Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data
Remote Sensing·2022· 24 citedOpen Access
A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt
Remote Sensing·2022· 70 citedOpen Access
Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning
Sensors·2022· 78 citedOpen Access
Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
GIScience & Remote Sensing·2021· 95 citedOpen Access
Forest Conservation with Deep Learning: A Deeper Understanding of Human Geography around the Betampona Nature Reserve, Madagascar
Remote Sensing·2021· 7 citedOpen Access
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data
IEEE Transactions on Geoscience and Remote Sensing·2021· 43 citedOpen Access
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Frequent Co-authors

Vasit Sagan(26), Paheding Sidike(15), Matthew Maimaitiyiming(13), Felix Fritschi(10), Sean Hartling(9), Nadia Shakoor(8), Todd C. Mockler(8), Sunish K. Sehgal(7), Kyle T. Peterson(6), Maria Newcomb(6), Shahid Nawaz Khan(6), Mohammad Maruf Billah(6), Sourav Bhadra(5), Harsimardeep S. Gill(5), Abduwasit Ghulam(4), David LeBauer(4), Bruce Millett(4), Ubaid ur Rehman Janjua(4), Flavio Esposito(3), Jack Fishman(3)