sivahariharan6 Goto Github PK

cv

darknet

Convolutional Neural Networks

detection-of-plant-disease

A plant disease detector (classifier) based on the PlantVillage dataset

ecg-kit

A Matlab toolbox for cardiovascular signal processing

esp8266-and-raspberry-pi-communication-using-mqtt

In this blog, we will learn how to subscribe and publish MQTT messages using ESP8266 (NodeMcu). We will use the Raspberry pi as a Local mosquitto MQTT broker.

home_automation

Home automation project using PyQt, MQTT and Arduino

image-processing

Image Processing Toolbox in Verilog using Basys3 FPGA

iot-projects

leaf-disease-classifier

A Leaf Disease image classifier built in order to classify leaf diseases using Deep Residual Networks and YOLOv3 object detection algorithm and obtained an accuracy of 96% on Plant-Village Dataset

leaf-disease-detection-dl-v.1

highly accurate model for leaf disease detection using deeplearning with the help of VGG-19 and Keras & added output speed optimisation with implementation of higher workload on gpu compared to cpu.

machine-learning

matlabrobotics

MATLAB sample codes for mobile robot navigation

mqtt-demo

Setup MQTT publish subscribe system between Raspberry Pi and ESP 32 microcontrollers with the help of this demo project

plant-disease-detection-using-mask-r-cnn

plant-disease-detection-using-yolov4

our work focused on the detection and identification of plant leaf diseases using the YOLO v4 architecture on the Plant Village dataset. Through the use of image annotation, data preprocessing, and model training, we were able to achieve very good accuracy in detecting and identifying various plant leaf diseases.

plant-diseases-classification-using-alexnet

A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture

smac-protocol-wsns-matlab

A completely implemented SMAC(Sensors Medium Access Control) Protocol in MATLAB (With Code and Documentation)

yolov3-series

Code accompanying YOLOv3 series I have created on YouTube