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  • 👋 Hi, I’m @irripro
  • 👀 I’m interested in Python develoment for Smart Irrigation.
  • 🌱 I’m currently learning PCSE.
  • 💞️ I’m looking to collaborate on Smart Irrigation by Crop Model and AI.
  • 📫 How to reach me, visit www.irripro.net and send email to [email protected] .

Graduated from the Department of Water Conservancy at Beijing Agricultural Mechanization College in July 1984, currently specializing in irrigation and drainage engineering at China Agricultural University. A seasoned smart irrigation expert with over 40 years of experience in the industry, I made the well-known "Master of Irrigation" website. I has served as a senior engineer at Guangxi Agricultural Reclamation Design Institute and as general manager of the Irrigation Division at Luyou Group. I was also the former COO of Shanghai Shengrui Software Technology Co., Ltd. and technical director of Huaweijieshui Irrigation Group Co. Ltd. I previously worked as a data analyst for listed company Jinglan Technology.

With over forty years dedicated to the efficient irrigation industry, I have been responsible for managing well-known irrigation websites as "Irrigation Master" and the WeChat public account "Irrigation Knowledge" as well as serving as a part-time administrator for "Irrigation Website." I have held positions such as the Director of the Computer Dep. at Guangxi Agricultural Reclamation Design Institute, General Manager of the Irrigation Division at Luyou Group, and Technical Director at Huawei Water-saving Irrigation Group Company, where I also planned and architected the Internet of Things application (Agriculture Head-up). Additionally, I have served as a Data Analyst at Jinglan Yun Technology Company and am currently the Strategic Advisor at Wuhan Heda Company.

In November 1989, I published a paper in the Proceedings of the 4th International Micro-Irrigation Conference in Australia, titled "THE METHOD OF AUTOMATIC SUITABLE SIMULATION FOR SPRAY SYSTEM, Proc. Vol.1, (2B-2), Albury." This paper was awarded the Second Prize for Excellent Paper by the Spray Irrigation Technology Information Network. In 1995, upon invitation by the South Australian Department of Agriculture and approval by the Guangxi Education Department, I visited the ICMS Research Institute in South Australia as a visiting scholar. With over four decades of theoretical and practical experience, I am well-versed in modern irrigation theory, intelligent irrigation control, and IoT technology. I have published numerous professional papers in "Water-saving Irrigation," with many receiving major awards within the domestic irrigation industry.

During my tenure at Wuhan University Yunshiu Company, I participated in the design and construction of the irrigation system and garden water system projects at the South China Botanical Garden in Guangzhou, as well as the installation of the underground drip irrigation system project for the Israel Meiz Company at Jianguomen. I have developed computer software applications for pipeline networks. In recent years, I have mainly engaged in the research and development of the application of crop mathematical models, providing crop model application consulting for intelligent irrigation decision-making to several companies. I have participated in the formulation of national standards for agricultural digital technicians, making outstanding contributions to the creation of digital irrigation using IoT in the field of agricultural planting.

IrriPro's Projects

a-nice-mc icon a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

adelaidet icon adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

alpharover icon alpharover

A repository for a 6-wheel rocker bogie rover, based on Robotic Operative System ROS and python to control its perception and action systems.

amos-visualization icon amos-visualization

Experimenting with the analysis and visualization of density of people found in web camera images (project AMOS, the Archive of Many Outdoor Scenes)

app-service-web-python-get-started icon app-service-web-python-get-started

This Python (Django) sample app is used by the getting started content to demonstrate how easy it is to develop a web app and deploy it to Azure App Service.

aquacrop icon aquacrop

AquaCrop-OSPy: Python implementation of AquaCrop-OS

aquacrop-eto icon aquacrop-eto

Python package for calculating reference/potential evapotranspiration (ETo).

autogluon icon autogluon

AutoGluon: AutoML Toolkit for Deep Learning

automated-irrigation-system icon automated-irrigation-system

This is the software of an open source automated irrigation system. The complete setup including hardware can be found in the README.

awesome-gis icon awesome-gis

Awesome GIS is for collecting the GIS related sources, including cartographer tools, geoanalysis tools, developing tools, data, conference & communities, news, MOOC's course, some amazing map site, etc.

azure-sdk-for-python icon azure-sdk-for-python

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

azuretemplates icon azuretemplates

Various Binaries related to Cloud Application and Infrastructure

bayesian-neural-networks icon bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bioforum icon bioforum

基于django2.0,使用类视图搭建的一个学习论坛demo。(django2.0 forum)演示站点:

bioinformaticspython icon bioinformaticspython

This is repo of my last school project. The program takes as input a set of field crops measurements ( like weight, hight) and calculates from that population the best offspring. As if for now it provides pdf with calculations based on variance, media and covariance.

bpmappers icon bpmappers

bpmappers is a Python moudle that maps Python dictionary values and object properties to different dictionary.

classim icon classim

Interface program for our crop models

cmu-multimodalsdk icon cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

cntk-world icon cntk-world

:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)

codingdojosept2018 icon codingdojosept2018

collection of assignments from coding dojo 9-17-18 to 12-21-18. C#, .Net, Python, Django, Flask, Full Stack MEAN

conda icon conda

Specifying a conda environment with `environment.yml`

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