Marty Gold's starred repositories
ESP32-LoRa-RS485-Agriculture-Kit
Affordable Agriculture Kit ESP32 LoRa 915 MHz RS485 Modbus Controller with Industrial Grade Soil Temperature, Moisture, EC, pH & NPK Sensor
Soil-7in1-sensor
The Soil 7-in-1 sensor project is an innovative IoT (Internet of Things) initiative designed to provide a comprehensive analysis of soil health for agricultural applications. Leveraging the power of real-time data acquisition, this project uses a multi-functional sensor capable of measuring seven crucial soil parameters.
IoTGreenGuardian-Agriculture-Automation-System
IoTGreenGuardian is a Cloud-based Smart Agriculture Automatic Irrigation System. Using NodeMCU ESP-12E, soil moisture and DHT11 sensors, a motor, relay, and an OLED display, this system enables efficient and automated irrigation based on real-time environmental data.
FarmAid-Data-Driven-Agriculture-with-Machine-Learning
ML solutions to Support Agriculture & Farmers Along With An IOT Sensor for Flood Prediction
ShepBookShepherdBot
The Shep Book Bot is an autonomous farm patrol robot, integrating AI and advanced sensors for real-time agricultural and SIGINT monitoring.
agricultural_greenhouse_with_sensors
Agricultural Greenhouse With Sensors
iot-sensor
A repo for experimenting IoT sensor for agriculture
LoRaWAN-Smart-Agriculture-System
Master's Thesis project at Aalto University and EURECOM on a LoRaWAN-based Smart Agriculture System. The system integrates IoT sensors with Microsoft Azure for real-time agricultural monitoring.
Farm-Data-Relay-System
A system that uses ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.
Smart-Agriculture-using-IoT-and-Machine-Learning
The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure
machine_learning_examples
A collection of machine learning examples and tutorials.
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
MachineLearning
Basic Machine Learning and Deep Learning
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BabyAGIChatGPT
A ChatGPT plugin to run BabyAI directly in the chat interface
stable-diffusion-webui
Stable Diffusion web UI
stable-diffusion
A latent text-to-image diffusion model
api-generator-sifive
Wake build descriptions of hardware generators
freedom-tools
Tools for SiFive's Freedom Platform
sifive-blocks
Common RTL blocks used in SiFive's projects
mlir-extensions
Intel® Extension for MLIR. A staging ground for MLIR dialects and tools for Intel devices using the MLIR toolchain.
torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.