There are 3 repositories under smart-agriculture topic.
MicroPython MQTT & code example for Eduponics mini ESP32 learning kit
Official code of the paper "Deep-Wide Learning Assistance for Insect Pest Classification"
Smart Farming research papers collection
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.
PlantPulse helps users monitor their crop fields in real-time using IoT, and recommending the most suitable crops using an ML model. 🚜🌾💧
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 their own farms by providing a farmers portal. The Farmers portal allows the farmer to add his farms and his products for each farm as well as managing each farm produce. For visitors, GREEN allows them to browse different farms and produces to allow them to later visit that farm or buy products from a specific farm.
Embrace limited and imperfect training datasets in plant disease recognition using deep learning.
Academic application ReactNative | Firebase
NRF52 BLE Agriculture example
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.
Remote Control, Monitoring and Data collection System for Agricultural lands. Using telegram bots and AWS cloud services.
A smart irrigation control system prototype that optimises water usage based on real-time weather forecasts and sensor data.
Docker environment for analyzing Argentina agriculture production data.
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 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.
ETa and Crop Coefficient predictions via Machine Learning models
Repository per il progetto di laboratorio didattico
Prediction of the harvest using satellite images
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
A collection of literature on the use of association rule mining methods in smart agriculture
And IoT project on Smart Agricolture
AI-Models for Smart Irrigation System
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.