Information and scripts for the CropAndWeed Dataset

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

Plant Phenotyping APP

Micropython routines for GrowMax automation board by opensensor.io

Automated hidroponic system. Project that seeks to create a fully automated hydroponic cultivation system using IoT, with a view to generating an agricultural revolution.

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.

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

Automated image analysis for plant growth

Applying IoT solution for Plant monitoring

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

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

Houseplant management system using Raspberry PI

Plant monitoring with Raspberry Pi

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

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.

Web app for plant management at home

PlantPerfect is a device using an Raspberry Pi Pico W to measure temperature, humidity, and sunlight levels, providing real-time feedback on planting conditions. It helps users find optimal spots for planting with a compact, efficient design. Future plans include improved portability and additional sensors for enhanced functionality.