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 valu…

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 in…

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.

CartoBio API

Farmioc | Global Agriculture Data and Agri Trading Company

{extractOz}: Get local attribute information from GPS points for Australian agricultural research

libadf - Agriculture Data Format

Predicts Agricultural Produce based upon area and year as the features

Watermelon fruits detection using deep learning.

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.

Transforme le RPG Bio — en version anonymisée, et en un dump PostgreSQL/PostGIS.

classifying potato leaf diseases using advanced computer vision techniques and convolutional neural networks (CNNs).