Analyze and predict crop types for next year in the Netherlands
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Updated
Mar 3, 2017 - Jupyter Notebook
Analyze and predict crop types for next year in the Netherlands
CSIRO Mineral And Environmental Spectral Sensing Group - environmental monitoring
Data Analysis of Castile and Leon Crops Area over the last years
This repository holds the code for an R package called CropPhenology. The package extracts phenological information of crops from multi temporal remote sensing vegetation index images
Package cropdatape https://omarbenites.github.io/cropdatape/
A Boon for Farmers
MOVED - The project is still under development but this page is deprecated. https://github.com/fruchtfolge/client
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)
A list of my projects I've worked on until 2019.
An Agriculture App that identifies which crop suits the best for a farmer of a particular locality/city, as per the soil type, weather conditions, crop prices, demand and supply parameters.
A simple WPF Control that crops an image by making use of the WPF renderer
These Dapp eliminates the middleman between farmers and customers by building a platform for farmers to sell their crops.Use of smart contracts for secure and de-centralized network based communication between farmers and customers.
OpenCV script to spot plants affected by Fusarium wilt.
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