This repository contains a preliminary jupyter notebook and sample data to create Management Zones in a context of precision agriculture.
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Updated
Jun 20, 2024 - Jupyter Notebook
This repository contains a preliminary jupyter notebook and sample data to create Management Zones in a context of precision agriculture.
A simple console app that will take bitmaps for spectral band 3 and band 4 and generate a NDVI image
Geoinformation web application for precision agriculture
Proyek Penelitian Tugas Akhir S1 Teknik Elektro UIN SGD Bandung untuk Proyek Penelitian Capstone kolaborasi KR Sistem Instrumentasi Cerdas PRMC BRIN dengan Fakultas Pertanian Unpad yang Didanai oleh RIIM LPDP 2024
This repository contains all the work that had been done in ONE LAB Egypt project 'Descriptive analysis on PA using ML'.
Green Fields, Smart Yields: Precision Agriculture Empowered by LoRa Wireless Sensor Networks!
Drip is a low-cost, efficient precision irrigation system was designed to service the needs of farmers in developing nations. It received Third Place in Embedded Systems & Fist Place in Research & Innovation at the 2018 Internal Science and Engineering Fair and Best in Fair at the 2017 Thames Valley Science Fair.
This is a repository of an API for model precision of Cherry Tomato by using a weather data.
Second project for Big Data course held at Roma Tre University
A web app based on classification algorithm (KNN) which recommends the best suitable crop using the soil nutritional data and weather data. The model has 99.96% accuracy and it is very beneficial for farmers to make more informed decision about which crop to grow.
Variable Rate Technology using Electron 🌾
Code accompanying article "Too much fertilizer? An observational association between inputs at planting and crop yield on a Saskatchewan farming operation"
Farm sense is leverages on remote sensing technique to help stakeholders in the agricultural sector to plan and also estimate potential return on investment over a planting season in a specific area.
Analyzing the correlation between nitrogen uptake and remotely sensed vegetation indices
Detection models and Python scripts for insect detection on yellow sticky traps.
Gui for select image pixel reference for iTree3DMap
A project addressing the Mixed Pixel Problem in thermal images using AI-based Autoencoders for precision agriculture. Enables accurate crop health monitoring and early disease detection through robust deep learning algorithms and custom datasets.
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