There are 5 repositories under agriculture-data topic.
Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops
Centroid-UNet is deep neural network model to detect centroids from satellite images.
Data in Climate Resilient Agriculture (DiCRA) is a collaborative digital public good which provides open access to key geospatial datasets pertinent to climate resilient agriculture. These datasets are curated and validated through collaborative efforts of hundreds of data scientists and citizen scientists across the world.
Android app for plant disease identification using ML
Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.
The ISO 11783 standard specifies a serial data network for control and communications on forestry and agricultural machines. Every control function in an ISOBUS network has a unique NAME ( defined in 11783-5) that contains information about the manufacturer code, the device class and other common fields. The information is encoded in a byte value representation.
The ISO 11783 standard specifies a serial data network for control and communications on forestry and agricultural machines. Every device in the ISOBUS network has a label given by device to identify the device descriptor localization. ( defined in 11783-10) that contains information about the lanaguage command PGN defined in ISO 11783-7. The information is encoded in a byte value representation.
CartoBio API
AgriFarm, is a web application that aims to optimize the agricultural supply chain by connecting farmers, middlemen, cold storage facilities, and customers. The platform will leverage machine learning algorithms to predict the demand for various agricultural products and provide valuable insights to farmers to plan their production accordingly.
Watermelon fruits detection using deep learning.
Predicts Agricultural Produce based upon area and year as the features
This repository is for the analysis presented in poster format at the 2020 ASA-CSSA-SSSA Virtual Meeting around social media engagement habits of farmers.
Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.
A topic-centric list of HQ open datasets of Pakistan
add sx1262 lora radio
The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.
Miscellaneous codes for harmonizing agricultural output and other agri-related data raster files and shapefiles. Extracts from raster files the grid-cell data by shapefile boundary.
AgReFed FAIR Assessment Tool
Agricultural production in Colombia from 2007 to 2022
Implementation of a technological stack that integrates in a single environment technological and agronomical features for XFarm - Agricoltura Prossima.
Multi image classification of orange diseases to running in edge device
AgTech/AgriTech Data Analytics
precision agriculture made easy! TechoFarmAustralia integrates drone-based multispectral imaging for in-depth crop monitoring in the NSW Riverina region. Empower your farm with advanced technology, seamless data exchange, and localized insights. Join us in revolutionizing agriculture!
Generate multiple bounding boxes from multispectral image of crops
A field experiment was carried out in the research field of G. P. Koirala College of Agriculture and Research Centre located at Sundarharaicha, Morang, Nepal, to evaluate the yield of different varieties of okra. It includes an Excel data file for the overall data collection.