crops

farmOS: A web-based farm record keeping application.

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks

Liquid Prep offers an end-to-end solution for farmers looking to optimize their water usage; especially during times of drought.

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

Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)

🌱🍎🍆 A shell script to parse the data by the Food and Agriculture Organization of the United Nations on crops/fruits.

This is a rough project to simulate a real-time smart farming system, complete with crop prediction, fertiliser prediction, weather analysis and soil quality management.

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.

Automated cultivation system for plants & mushrooms using Raspberry Pi

Xamarin.Forms app for field inspections

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.

The food revolution for Fabric 1.15

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)

OpenCV script to spot plants affected by Fusarium wilt.

bitfarm

Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques

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.

Data Analysis of Castile and Leon Crops Area over the last years

Crop recommend System on the basis of location .

This is GUI on which you can get price of the crop in respective region

Analyze and predict crop types for next year in the Netherlands

Adds in right-click harvesting to crops and auto replants afterwards.

MOVED - The project is still under development but this page is deprecated. https://github.com/fruchtfolge/client

Package cropdatape https://omarbenites.github.io/cropdatape/

A list of my projects I've worked on until 2019.

Moenga 2020

A Boon for Farmers

Presentation of the ICML2019 Time Series Workshop