IOT Based Smart Agriculture System

Librería que hace análisis estadístico de datos de humedad y temperatura de un cultivo hidropónico. (media, desviación estándar, y cálculo de veces dentro de rango de condiciones óptimas para el cultivo)

The project is about smart agriculture and is a system that allows people to monitor the status of their cultivated areas by automatically managing irrigation. The network consists of a border router, an undefined number of scattered nodes throughout the lands and a central server (the Master) that coordinates and manages all nodes.

lightWay - choose the right way × 1st Place @ PoliHack 2021 (Juniors)

And IoT project on Smart Agricolture

Prediction of the harvest using satellite images

The Smart Plant Monitoring System is an IoT project that automates plant care using an ESP32 microcontroller. It monitors soil moisture, temperature, and humidity, automating watering based on sensor data. The system connects to the Blynk app for remote monitoring and control, making it perfect for smart agriculture or home automation.

ETa and Crop Coefficient predictions via Machine Learning models

The open source code for the paper "A Hybrid Multi-stage Model based on YOLO and Modified Inception Network for Rice Leaf Disease Analysis" Hybrid_Multi_Stage_DeepLearing_Approach

The main objective of this internship was to approach in general the topic of the use of classical Machine Learning and Deep Learning techniques for intelligent agriculture with a focus on the optimization and improvement of agricultural production.

Repository per il progetto di laboratorio didattico

Docker environment for analyzing Argentina agriculture production data.

A collection of literature on the use of association rule mining methods in smart agriculture

AI-Models for Smart Irrigation System

Remote Control, Monitoring and Data collection System for Agricultural lands. Using telegram bots and AWS cloud services.

KisanSahayak is a smart agriculture web application aimed at providing Indian farmers with data-driven insights using advanced machine learning, rainfall analysis, crop recommendations, and disease prediction. 🌱

NRF52 BLE Agriculture example

A smart irrigation control system prototype that optimises water usage based on real-time weather forecasts and sensor data.