Software for automated insect monitoring with the Insect Detect camera trap.
Source files and assets of the documentation website for the Insect Detect DIY camera trap for automated insect monitoring.
OpenCV based motion detection/recording software built for research on Bumblebees.
A detection dataset containing labelled images of French terrestrial Arthropods.
Accompanying code, guides and documentation for our paper on AI triggers for insect camera traps.
A Streamlit-based AI app to identify insect species using a CNN model.
Agriculture apps help farmers manage crops, livestock, soil, and finances efficiently while providing real-time insights and expert guidance. The app provides you "Plant Identification and Disease Detection" and "Insect Identification" as it's prime feature and curing,symtoms,advice,etc..
NSF REU 2022. Insect detection using changepoint detection algorithms
Code for "Toward a Hardware Implementation of Lidar-based Real-time Insect Detection" published in the SPIE Real-time Image Processing and Deep Learning 2022 conference
Detection models and Python scripts for insect detection on yellow sticky traps.
A large, multimodal, and multiview image sequence dataset of aquatic invertebrates. Images, DNA sequences, biomass.
Code for detecting insects in lidar data. This repository contains the code used to create the results and figures in our paper Detection of Insects in Class-imbalanced Lidar Field Measurements, which was published in and presented at the 2021 IEEE Machine Learning for Signal Processing (MLSP) conference.
Leg Measurement, Sex and Wing Prediction for Microvelia longipes
Systematic review of computer vision and deep learning approaches for insect pest detection in Nepalese agriculture.
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