Name: Smart Irrigation with AI
Type: Organization
Bio: This account mainly introduces why crop model into smart irrigation and how to find crop irrigation water demand and time to application
Twitter: irripro
Location: China
Blog: www.irripro.net/en/
Smart Irrigation with AI's Projects
An IRrigation Advisor
A jupyter notebook with crop analysis algorithms utilizing digital elevation models and multi-spectral imagery (R-G-B-NIR-Rededge-Thermal)
IFPRI crop monitor package to calculate and explore cellphone based vegetation metrics
trying rainfall prediction
A training repository for Git
Private Repository
Predicting root-zone EC of the closed-loop soilless culture using recurrent neural network
Prediction of greenhouse environment using deep learning approach
Smart Irrigation custom component for Home Assistant
Irrigation Advisor - PGGW Water
converting greenhouse image to fresh weight using simple convoluion neural network regression
Estimating Ion concentrations of nutrient solution in closed-loop condition using long short-term memory.
a small .net core project to store all my sensor values from my irrigation plant system based on Arduino
Company website & web app to setup, monitor & control farms and crops, IoT API to register sensors and send collecting data from field's weather and soil.
♒Irrigation controller for Home Assistant
This repository will have all open source code of my group's irrigation system
4Dvar assimilation on a lorenz system
The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format
Python crop model for sweet peppers
Repository for the Python Crop Simulation Environment
Trying PCSE calibration for vegetables
Testing Python Crop Simulation Environment (WOFOST)
Python implementation of the SIMPLE crop model (Zhao et al., 2019).
Smart Irrigation and Fertigation Decision-Making Engine, Here we would try to introduce some smart irrigation and to know how it work.
Automate the process of delineation in CAD, by coding points in a topographic survey
application to collect heightmap data from google and generate topographic maps
Comparison of crop simulation model under different natural, irrigation and fertilization conditions by PCSE/LINTUL
Jupyter notebooks on WaPOR based monitoring of water productivity and irrigation performance indicator