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Name: Bangroo Shabir
Type: User
Company: SKUAST Kashmir
Bio: Soil Scientist, Interests: Pedology, Geo-spatial modelling & visualisation
Twitter: shalzsab
Location: Kashmir
Name: Bangroo Shabir
Type: User
Company: SKUAST Kashmir
Bio: Soil Scientist, Interests: Pedology, Geo-spatial modelling & visualisation
Twitter: shalzsab
Location: Kashmir
Agricultural Land Use Evaluation System
A web application to classify apple leaf disease using transfer learning with PyTorch and Flask
Algorithms for Quantitative Pedology
A ready-to-use curated list of spectral indices for Google Earth Engine.
Slides and lecture notes on how to process large spatial data with R
An R 📦 for getting point and gridded climate data by AOI
1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Digital Soil Mapping Focus Teams
The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.
Code repository for Ensemble Machine Learning, published by Packt
Forecasting Crop Yields on National scales (FACYNation)
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
Open source book: Geocomputation with R
A set of color palettes I like (or can at least tolerate)
Land-use statistics of hydrological basins in the Netherlands
Code for journal paper "Deep Learning for Land Cover Change Detection".
Machine learning and ensemble estimate for above-ground biomass estimation
Code and reproducible example for computing the Taylor, solar and target diagrams
MIMICS Code Repository
Interface to the MODIS Land Products Subsets Web Services
Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019
Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021
calculate optimal vcmax in R as in Smith et al. Photosynthetic capacity is optimized to the environment. Ecology Letters.
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
A plant disease detector (classifier) based on the PlantVillage dataset.
A collection of Python packages for geospatial analysis with binder-ready notebook examples
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.