Optimal Route Planning of an Unmanned Aerial Vehicle for Data Collection of Agricultural Sensors DOI
Christophe Cariou, Laure Moiroux-Arvis, Fatiha Bendali

et al.

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: May 20, 2024

The development of the Internet Things is essential in agriculture to meet challenges agro-ecological transition.In fact, by installing communicating sensors directly fields, health ecosystems can be accurately monitored (e.g.soil conditions, crop growth, loss biodiversity), processes optimally controlled (e.g.irrigation systems), and production better managed (e.g.optimal decision making).However, forwarding measurements from a massive number IoT-based distributed fields internet challenging task, all more case energy, cost, latency, data rate or connectivity constraints.The conventional technologies, as connection cellular network, gateway nano-satellite at low earth orbit, may fact not met these constraints.This paper investigates new paradigm based on collector embedded an Unmanned Aerial Vehicle (UAV).This approach has numerous advantages (e.g.no need infrastructures, no subscription fees, operate white areas, reduce transmitter power sensors).However, operating time UAV limited, length flight trajectories visit collect must minimized.To address this issue, communication ranges are first modeled hemispheres.The Close Enough Traveling Salesman Problem (CE-TSP) then investigated different flying heights.To solve problem, algorithm three successive parts, graph reduction, partheno-genetic heuristic rules, developed.This tested sets involving with various ranges, well real agricultural study.The results highlight performances method proposed open way future perspectives for collection means UAVs.

Language: Английский

Climate change: Strategies for mitigation and adaptation DOI Open Access
Fang Wang, Jean Damascene Harindintwali, Ke Wei

et al.

The Innovation Geoscience, Journal Year: 2023, Volume and Issue: 1(1), P. 100015 - 100015

Published: Jan. 1, 2023

<p>The sustainability of life on Earth is under increasing threat due to human-induced climate change. This perilous change in the Earth's caused by increases carbon dioxide and other greenhouse gases atmosphere, primarily emissions associated with burning fossil fuels. Over next two three decades, effects change, such as heatwaves, wildfires, droughts, storms, floods, are expected worsen, posing greater risks human health global stability. These trends call for implementation mitigation adaptation strategies. Pollution environmental degradation exacerbate existing problems make people nature more susceptible In this review, we examine current state from different perspectives. We summarize evidence Earth’s spheres, discuss emission pathways drivers analyze impact health. also explore strategies highlight key challenges reversing adapting change.</p>

Language: Английский

Citations

114
Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater DOI Creative Commons

Titus Mutunga,

Sinan Sinanović,

Colin Harrison

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 3191 - 3191

Published: May 17, 2024

Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays integral role in various sectors such agriculture, industrial processes, and domestic consumption. Even though water covers 71% global land surface, governments have been grappling with challenge ensuring provision safe use. A contributing factor to this situation is persistent contamination available sources rendering them unfit human common contaminant, pesticides are not frequently tested despite their serious effects on biodiversity. Pesticide determination quality assessment a challenging task because procedures involved extraction detection complex. This reduces popularity many monitoring campaigns harmful effects. If existing methods pesticide analysis adapted by leveraging new technologies, then information concerning presence ecosystems can be exposed. Furthermore, beyond advantages conferred integration wireless sensor networks (WSNs), Internet Things (IoT), Machine Learning (ML), big data analytics, notable outcome attainment heightened degree granularity ecosystems. paper discusses water, emphasizing possible use electrochemical sensors, biosensors, paper-based sensors sensing. It also explores application WSNs IoT, computing models, ML, potential technologies useful water.

Language: Английский

Citations

3
The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review DOI Creative Commons

Avines Panneer Selvam,

S. N. Saud

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 10, 2023

Abstract The observation of weather and its impact on human life is undeniable. Weather observations are essential for various sectors, including agriculture, transportation, aviation, disaster management. Therefore, the collection data variations crucial. However, transient nature makes it difficult to collect accurate real-time data. To overcome this challenge, researchers have developed smart monitoring systems integrated with mobile applications. These utilize frameworks, technologies, techniques, Internet Things (IoT), Arduino, machine learning algorithms, deep sensors that measure temperature, humidity, wind speed, direction. provide conditions, enabling individuals make informed decisions. The primary objective review paper critically examine elaborate multiple research studies focus integrating aim understand methodologies, technologies employed in designing developing such systems. One key findings applications has significant potential improve forecasting monitoring. For instance, algorithms can analyze sensor identify patterns accurately predict future conditions.Additionally, cloud computing technology these allows secure storage, making accessible validated from anywhere. In conclusion, enormous improving Various techniques enabled develop sophisticated conditions. significantly affect management.

Language: Английский

Citations

8
Optimal Route Planning of an Unmanned Aerial Vehicle for Data Collection of Agricultural Sensors DOI
Christophe Cariou, Laure Moiroux-Arvis, Fatiha Bendali

et al.

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: May 20, 2024

The development of the Internet Things is essential in agriculture to meet challenges agro-ecological transition.In fact, by installing communicating sensors directly fields, health ecosystems can be accurately monitored (e.g.soil conditions, crop growth, loss biodiversity), processes optimally controlled (e.g.irrigation systems), and production better managed (e.g.optimal decision making).However, forwarding measurements from a massive number IoT-based distributed fields internet challenging task, all more case energy, cost, latency, data rate or connectivity constraints.The conventional technologies, as connection cellular network, gateway nano-satellite at low earth orbit, may fact not met these constraints.This paper investigates new paradigm based on collector embedded an Unmanned Aerial Vehicle (UAV).This approach has numerous advantages (e.g.no need infrastructures, no subscription fees, operate white areas, reduce transmitter power sensors).However, operating time UAV limited, length flight trajectories visit collect must minimized.To address this issue, communication ranges are first modeled hemispheres.The Close Enough Traveling Salesman Problem (CE-TSP) then investigated different flying heights.To solve problem, algorithm three successive parts, graph reduction, partheno-genetic heuristic rules, developed.This tested sets involving with various ranges, well real agricultural study.The results highlight performances method proposed open way future perspectives for collection means UAVs.

Language: Английский

Citations

0