MicroPython MQTT & code example for Eduponics mini ESP32 learning kit
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Updated
Sep 15, 2023
MicroPython MQTT & code example for Eduponics mini ESP32 learning kit
Repository per il progetto di laboratorio didattico
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…
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.
smart agriculture data analytics
A collection of literature on the use of association rule mining methods in smart agriculture
ETa and Crop Coefficient predictions via Machine Learning models
Prediction of the harvest using satellite images
Smart Farming research papers collection
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.
Remote Control, Monitoring and Data collection System for Agricultural lands. Using telegram bots and AWS cloud services.
PlantPulse helps users monitor their crop fields in real-time using IoT, and recommending the most suitable crops using an ML model. 🚜🌾💧
lightWay - choose the right way × 1st Place @ PoliHack 2021 (Juniors)
Academic application ReactNative | Firebase
And IoT project on Smart Agricolture
Embrace limited and imperfect training datasets in plant disease recognition using deep learning.
Official code of the paper "Deep-Wide Learning Assistance for Insect Pest Classification"
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