There are 26 repositories under precision-agriculture topic.
Advancement of UAV, deep Learning and cutting edged technologies and papers in Precision Agriculture.
Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops
Low-cost sensor node device using solar energy and a sx1276 LoRa transmitter for a Wireless Sensor Network.
A Lightweight Deep Learning Model for Automated Pest Detection on Mobile
Official Repository for CWD30 Dataset
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
This GitHub repo contains the code for a precision agriculture app built with Python-Django, and Typescript-Angular. The whole web app is designed to help farmers manage their dairy and poultry farms by making data-driven decisions for their business. In this repo, you'll find the code for the dairy and poultry franchises
Yellow Sticky Traps Dataset with improved annotations. Based on: "Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection" by A.T. Nieuwenhuizen et. al.
Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields
Arduino Library for Arduino Edge Control
AI to Predict Yield in Aeroponics
Official TensorFlow code for the paper "Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering" presented at ECML PKDD 2022.
An Android APP to record precision areas for farming purposes
This project develops C++ and Python standard-language software for embedding in irrigation controllers for human-supervised fully-automated distributed systems.
TerrAvion API example
NOT COMPLETED - To use deep domain adaptation techniques in order to develop a deep network that can produce semantic segmentation maps for precision agriculture
R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
BonsaiFog - Fog Application
Autonomous UAV guidance on precision agriculture plantations based on crop row detection algorithm.
A modular software architecture for Automatic Plant Phenotyping
BigDataGrapes H2020 project
Alignment between the coordinate system of a point cloud and the global coordinate system of pcl
🥔 Supplementary material for Parent, S.-É., Leblanc, M., Parent, A.-C., Coulibali, Z. and Parent, L.E. (2017). Site-specific multilevel modeling of potato response to nitrogen fertilization. DOI: 10.3389/fenvs.2017.00081
A python script to apply VARI,GLI and VIGREEN vegetation indexes in a set of user defined images
OpenCV script to spot plants affected by Fusarium wilt.