Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture

Domaine:

agriculturegeospatial

Type de record:

papersoftware
Créateur:
SadLatEl
Éditeur:
UniSys
Éditeur:
CCSDMDPI
Hôte:avatar
International audience Today’s on-chip systems technology has grounded impressive advances in computing power and energy consumption. The choice of the right architecture depends on the application. In our case, we were studying vegetation monitoring algorithms in precision agriculture. This study presents a system based on a monitoring algorithm for agricultural fields, an electronic architecture based on a CPU-FPGA SoC system and the OpenCL parallel programming paradigm. We focused our study on our own dataset of agricultural fields to validate the results. The fields studied in our case are in the Guelmin-Oued noun region in the south of Morocco. These fields are divided into two areas, with a total surface of 3.44 Ha2 for the first field and 3.73 Ha2 for the second. The images were collected using a DJI-type unmanned aerial vehicle and an RGB camera. Performance evaluation showed that the system could process up to 86 fps versus 12 fps or 20 fps in C/C++ and OpenMP implementations, respectively. Software optimizations have increased the performance to 107 fps, which meets real-time constraints.

Visit

hal.science

Tasks

computer vision

Tags

CPU-FPGA SoCon-chip systemsembedded systemsprecision agriculture[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][SDE.IE]Environmental Sciences/Environmental Engineering[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture

Licenses

info:eu-repo/semantics/OpenAccess

Similaires

Multi-Agent System Architecture for Energy Optimization in Precision Agriculture in the Algerian SaharaDesign and Experimental Validation of a Low-Power IoT-Based Smart Irrigation System Using LoRa, ET0, and Crop Water Stress Index for Precision AgricultureHARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTUREEnhanced Maize Cultivation: IoT Based Precision Agriculture SystemAn Open-Source Monitoring System for Remote Solar Power ApplicationsPrecision Agriculture Sensors in Nigerian Rice Farming Communities: Yield Enhancements and Soil Health Monitoring

Multi-Agent System Architecture for Energy Optimization in Precision Agriculture in the Algerian Sahara

Abstract This paper proposes a Multi-Agent System (MAS) architecture designed to enhance energy opt

Design and Experimental Validation of a Low-Power IoT-Based Smart Irrigation System Using LoRa, ET0, and Crop Water Stress Index for Precision Agriculture

Efficient irrigation management requires complementary information on atmospheric demand, soil condi

HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE

Artificial Intelligence (AI) has emerged as a transformative tool in the agricultural sector, partic

Enhanced Maize Cultivation: IoT Based Precision Agriculture System

An Open-Source Monitoring System for Remote Solar Power Applications

Renewable energy systems are an increasingly popular way to generate electricity. As with any new te

Precision Agriculture Sensors in Nigerian Rice Farming Communities: Yield Enhancements and Soil Health Monitoring

Precision agriculture sensors are increasingly used to optimise crop management in various