MicroPython MQTT & code example for Eduponics mini ESP32 learning kit

Code used in the project "Leveraging data assimilation and monitoring data for improvement of crop growth estimates in protected environments". It includes tomato models implementations, and scripts for data preparation, model calibration, assimilation, sensitivity analysis, visualization strategies and other assessments performed.

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.

Official code of the paper "Deep-Wide Learning Assistance for Insect Pest Classification"

Meet the humble irrigation system that keeps your plants happy and hydrated! With real-time air data, water level LEDs showing how full your tank is, and cloud connectivity for remote monitoring, it’s got your watering needs covered—no more guessing, overwatering, or dehydration!

Smart Farming research papers collection

AI-driven Smart Agriculture System leveraging deep learning for plant disease detection and machine learning for intelligent irrigation scheduling.

Este projeto implementa um sistema de irrigação automática utilizando um ESP32 para monitorar a umidade do solo e controlar um relé, garantindo a eficiência no uso da água. Os dados coletados pelos sensores são exibidos em um dashboard desenvolvido com Flask, permitindo o monitoramento remoto das condições do solo e do ambiente.

smart agriculture data analytics

Precision Farming Robot using ESP32 for motor control and live video streaming. Controlled via MQTT and a GUI, this system aims to automate farming tasks for smart agriculture.

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

PlantPulse helps users monitor their crop fields in real-time using IoT, and recommending the most suitable crops using an ML model. 🚜🌾💧

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.

Embrace limited and imperfect training datasets in plant disease recognition using deep learning.

GREEN is a website that allows the farms in Kuwait to be available online which is something that is in need during such pandemic such as COVID-19. The website is built with a simple and straightforward User Interface that allows the user to navigate and access the material easily. In addition, Green allows the farmers to organize and monitor th…

Academic application ReactNative | Firebase

A smart irrigation system that automates watering based on soil moisture levels. Using Arduino and a soil moisture sensor, it ensures plants get the right amount of water, optimizing usage and promoting healthier growth. 🌿💧 This system helps conserve water and enhances irrigation efficiency for both agriculture and home gardening. 🌍🌱

🌱 FertiOptimizer is a smart agriculture management app built with Flutter, designed to help farmers make data-driven decisions for better crop yields. It integrates real-time sensor data, AI-powered fertilizer recommendations, and remote irrigation control into one intuitive platform.

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