irripro Goto Github PK

followers: 8.0 following: 8.0 repos: 200.0 gists: 0.0

Name: IrriPro

Type: User

Company: Kingland Cloud IT co. ltd

Bio: Graduated for @Cua, As irrigation engineer more than 40 years. Retired Engineer. as was Irrigation Co. CTO. Built the www.IrriPro.net Website.

Location: Shanghai Pudong Bipo road 500

Blog: www.irripro.net/en/

👋 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

keras-aichallenger-2018-plant-recognition

农作物病害检测 2018 ai challenger

kg_instance_segmentation

[MICCAI 2019] Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

lai-inversion

Assignment: Inverting Leaf Area Index (LAI) with MODIS data and ProSAIL model

leaf_count

Leaf counting alogrithm

leaf_square

This script counts approximate square of plant leafs on a photo

leafit-android

Leafit is an iOS and Android camera app that uses self-teaching image recognition technology to identify photos of leaves. Users can pick up interesting leaves and access useful information about the plants and trees that they come from.

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

lineageos-device-sql

horrid hack to turn device yml files into an sqlite db

lingra_crop_parameters

Parameters for the LINGRA grassland simulation model

lintul3_matlab

LINTUL3 crop model in MATLAB

lorenz_4dvar

4Dvar assimilation on a lorenz system

markov-chain-gan

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

mcmc

Implementation of Markov Chain Monte Carlo in Python from scratch

mcmc_pydata_london_2019

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

measurementvisionsystem

This project is development of GUI interface and image processing application for precise measurement with 3 telecentric cameras. We measure diameter of metallic pieces.

mediapipe

mediapipeposeestimation

minirover_lidar_citrush_crop

Growing evaluation in the early stages of crop development can be critical to eventual yield. Point clouds have been used for this purpose in tasks such as detection, characterization, phenotyping, and prediction on different crops with terrestrial mapping platforms based on laser scanning. 3D model generation requires the use of specialized measurement equipment, which limits access to this technology because of their complex and high cost, both hardware elements and data processing software. An unmanned 3D reconstruction mapping system of orchards or small crops has been developed to support the determination of morphological indices, allowing the individual calculation of the height and radius of the canopy of the trees to monitor plant growth. This paper presents the details on each development stage of a low-cost mapping system, which integrates an Unmanned Ground Vehicle UGV and a 2D LiDAR to generate 3D point clouds. The sensing system for the data collection was developed from the design in mechanical, electronic, control, and software layers. The validation test was carried out on a citrus crop section by a comparison of distance and canopy height values obtained from our generated point cloud concerning the reference values obtained with a photogrammetry method.

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

moviepy

Video editing with Python

mssql-cli

A command-line client for SQL Server with auto-completion and syntax highlighting

multi_objective_irrigation

Multi-objective irrigation optimization using a crop simulation model and historical weather data

multiview-stereo

multiview-stereo is an attempt to create a 3D structures out of multiple views of 2D images. A volumetric surface is constructed entirely using the images and camera projection matrices. The method involves performing volumetric graph-cuts on visual hull via photo consistency.

irripro Goto Github PK

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