Self-hosted collaborative plant management and tracking system for plant enthusiasts

Application for hyper/multispectral image analysis

Plant Phenotyping APP

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.

Micropython routines for GrowMax automation board by opensensor.io

Code for an ESP32-based system that monitors plant health (humidity, temperature, soil moisture) and publishes data to AWS IoT Core for real-time cloud analysis.

logistic regressor for the plant disease resistance genes using sequence features and expression.

plant resistance gene analyzer for getting the dna and protein sequences.

This project purpose a PlantCare system using SW-Prolog software. The proposed system can provide a robust platform for identifying plants diseases, recognizing pests, assessing nutrient deficiencies, and evaluating environmental stressors.

PlantMaster is an ESP32-based IoT system for monitoring and watering plants. It tracks soil moisture, room humidity, and temperature, and controls a water pump for automatic irrigation. With WiFi and MQTT, it allows for remote monitoring and control.

Intuitive mobile application designed to make caring for your plants simple.

Kratky cultivation system with auxiliary oxygenation, measurement of environmental variables and local web server to view status of environmental variables with ESP32

The project provides a comprehensive solution for monitoring and managing plant environments, leveraging advanced software tools and modular design principles. It aims to offer flexibility, scalability, and reliability in plant care management, catering to both novice users and experts seeking to optimize plant growth conditions effectively.

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

Tools written in Go for interfacing with Xiaomi Flora sensors for IoT use cases.

Client-side code for the Plant Reminder App 🪴📱 (My Uni's Compulsory Startup Project)

We're building a plant monitor (and saver) - this is the early stage

This Arduino sketch utilizes an ESP8266 microcontroller to read temperature, humidity, and soil moisture values using DHT11 and a soil moisture sensor. The data is sent to the Blynk IoT platform for real-time monitoring. Additionally, the system controls a light based on soil moisture levels and sends notifications about water flow status.

Flutter app for tracking plants 🌱🌿

Micrpython port of LilYGO Higrow - soil moisture esp32 sensor with connection to iot platform Blink