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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

pywebview icon pywebview

Build GUI for your Python program with JavaScript, HTML, and CSS

querybuilder icon querybuilder

SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird

raincloudy icon raincloudy

RainCloudy is a library written in Python 3.x that manages the Melnor RainCloud Smart Garden Watering Irrigation Timer.

real-time-sudoku-solver-opencv-and-keras icon real-time-sudoku-solver-opencv-and-keras

Solving Sukodu puzzle in realtime using Deep Learning and Computer Vision. Display the unsolved Sudoku in front of the camera and get the instant solution projecting right on the image.

remi icon remi

Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.

river icon river

🌊 Online machine learning in Python

salib icon salib

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

sharplite icon sharplite

a light weight desktop app scaffold with C# + SQLite + PetaPoco + django

simplecrop icon simplecrop

Ricardo Braga's Simple Crop model. Used as a simple example of a modular crop model in the style of DSSAT-CSM.

siuba icon siuba

Python library for using dplyr like syntax with pandas and SQL

smart-irrigation-system icon smart-irrigation-system

Smart low-cost irrigation system using Arduino UNO, YL-69 soil moisture sensor, submersible dc water pump, HC-05 bluetooth module(optional)

smartcamphouse icon smartcamphouse

Combination of Arduino and Android to provide a remote control and automatic decisions over a camp house necessities like (Water Irrigation, etc)

soilgrids250m icon soilgrids250m

Global spatial predictions of soil properties and classes at 250 m resolution

speed-camera icon speed-camera

A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app allows remotely controller camera configuration from a remote storage service name. Uses sqlite3 and gnuplot for reporting. Recently added openalpr license plate reader support.

stereo-vision icon stereo-vision

This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.

streamlit icon streamlit

Streamlit — The fastest way to build data apps in Python

tablecanvas icon tablecanvas

Draw an adaptive table with canvas,用canvas画一个内容自适应的表格

tensorflow.net icon tensorflow.net

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#.

test_pcse_jupyter_notbooks icon test_pcse_jupyter_notbooks

Comparison of crop simulation model under different natural, irrigation and fertilization conditions by PCSE/LINTUL

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