We specialize big data/machine learning/AI and have applied these techniques to different domains in precision agriculture, health, smart cities, manufacturing, etc. We have built capacity and capability in handling various datasets such as remote sensing (e.g. satellite and drone imagery), IoT sensors, smartphones, texts, videos, etc. and capable of rapidly developing digital platform.

Particularly in precision agriculture, Here are some of our applications in crop disease diagnosis and nitrogen diagnosis using big data/machine learning/ AI and various large data such as, remote sensing (Satellite, Drone), Smartphone, IoT, etc.

1) http://agrione.farm , http://agrione.farm/category/product/ , we have developed Drone-enabled big data platform and mobile app to detect rice diseases in real time on field scale. The underlying techniques: big data, machine learning/AI, computer vision, cloud computing, mobile computing.

2) N2Vision project, https://n2visionai.wordpress.com, we have been developing a robot -enabled machine vision tool for nitrogen diagnosis of soils

3) https://epic337255300.wordpress.com . https://epic337255300.wordpress.com/our-product/ we have developed mobile app which can detect crop diseases on leaf scale in real time.

4) https://youtu.be/IDTOd4G4rhA , https://youtu.be/3BtRi0RzKYU

5) An article in New food magazine to introduce our product: “Could AI ease food security fears?”, New food Magazine, 15/2/2021 https://www.newfoodmagazine.com/article/138114/ai-and-food-security/

6) Some of our high quality publications in high impact journals:
• Shi, Y. Han, L. et al. “A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery”. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3058782. https://ieeexplore.ieee.org/document/9362293, Feb, 2021
• Zhang, X., Han, L. et al. “A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV Images”, Remote Sensing. 2019, 11(13
• Ma, H., Huang, W., Jing,Y., Yang, C., Han, L., etal. “Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery”, Remote Sensing, 2019, 11(7), 846.
• Zhang, X., Han, L., et al. “How Well Do Deep Learning-Based Methods for Land Cover Classification

Manchester Metropolitan University: one of the largest universities in the UK. The University has been a pioneer in modern eduction since its origins in 1824. It is ranked within the top 200 young universities worldwide, with 85% of research outputs graded ‘world leading’ or ‘internationally excellent’ in REF 2014 and the University is proud to have ambitious plans for the future.

Prof. Liangxiu Han at Manchester Met. University-- (http://www2.docm.mmu.ac.uk/STAFF/L.Han/) specializes big data/machine learning/AI and have applied these techniques to different domains in precision agriculture, health, smart cities, manufacturing, etc. We have built capacity and capability in handling various datasets such as remote sensing (e.g. satellite and drone imagery), IoT sensors, smartphones, texts, videos, etc. and capable of rapidly developing digital platform. Our research interest include 1) Development of novel data analytics/machine learning/AI, 2) Development of novel architectures facilitating big data analytics using parallel computing/cloud computing, and 3) big data applications to different domains such as Agriculture, Health, Energy, Cybernetics, Smart Cities, etc.
The research mentioned above is kindly supported by various funding streams both nationally and internationally (Research councils, EU, Industry, Charities, etc.). Some use cases include:

1) Precision agriculture ( Drone enabled mobile app for crop disease detection — http://agrione.farm, https://youtu.be/lfF3AfB7WQ0 , Mobile on device disease detection based on light-weight deep learning : https://epic337255300.wordpress.com/our-product/
and https://n2visionai.wordpress.com, we have been developing a robot -enabled machine vision tool for nitrogen diagnosis of soils.
2) ) Healthcare: we have built machine learning/AI algorithm for glaucoma disease, brain diseases e.g. https://youtu.be/SnlR-3PWNAw,
3) Smart cities/Energy: https://www.youtube.com/watch?v=tvpNNMp8hso
4 ) Manufacture/Sentimentanalysis: https://youtu.be/ouuWnk7x1fo

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Professor Liangxiu Han

Co-Director of Centre for Advanced Computational Science,
Deputy Director of Crime and Wellbeing Big Data Centre
Department of Computing, Mathematics
Manchester Metropolitan University
John Dalton Building, Chester Street
Manchester M1 5GD, United Kingdom
Tel: 0161-247-1225
Email: L.Han@mmu.ac.uk
Homepage: http://www2.docm.mmu.ac.uk/STAFF/L.Han/
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CFP: Big Data and Machine Learning/Artificial Intelligence (AI) in Remote Sensing
(https://www.mdpi.com/journal/remotesensing/special_issues/big_data_AI)