Analyzing the correlation between nitrogen uptake and remotely sensed vegetation indices

Detection models and Python scripts for insect detection on yellow sticky traps.

This repository contains a preliminary jupyter notebook and sample data to create Management Zones in a context of precision agriculture.

Revoltionizing Precision Agriculture with Real-Time data integration and analysis. Enhancing crop yield, sustainability, and farmer independence using IoT, Cloud and AI.

Official Repository for CWD30 Dataset

Geoinformation web application for precision agriculture

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

Racemus.ai project

The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.

A neural network-based crop recommendation system leveraging soil and environmental data. Achieved 98% accuracy through hyperparameter tuning and evaluation of two architectures with 2 and 5 hidden layers.

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

The main objective of this work is to design, validate, develop, and implement an IoT-based smart monitoring system using hardware sensors in multiple crop fields and household conditions with data management via a smartphone and a web application. The platform must be optimized for early warning issuance for plant disease epidemics.

See: https://jaramilloh.github.io/GPC-3D-figures/ for 3D models programmed with https://threejs.org/

[Conference] Offical Code for FruitNeRF - Inegrated into Nerfstudio

Robot autonome pour l’analyse et la cartographie de jardins.

Arduino Library for Arduino Edge Control

This GitHub repo contains the code for a precision agriculture app built with Python-Django, and Typescript-Angular. The whole web app is designed to help farmers manage their dairy and poultry farms by making data-driven decisions for their business. In this repo, you'll find the code for the dairy and poultry franchises

Lane Detection using DBSCAN + IPM + A Bit of Temporal Smoothing

The Crop Recommendation System on GitHub is a machine learning-based application designed to recommend suitable crops based on environmental conditions like soil type, climate, and precipitation.

Academic page of Tej Bahadur Shahi. This Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes.