Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challenges

Ain Shams Engineering Journal, Journal Year: 2023, Volume and Issue: 15(3), P. 102509 - 102509

Published: Sept. 30, 2023

Agriculture must overcome escalating problems in order to feed a growing population while preserving the environment and natural resources. Recently, it has become clear that sensors Internet of Things (IoT) are effective tools for boosting agricultural sustainability food security. This study provides insights into global market size smart agriculture future years from 2021 2030, In addition, this research offered four levels IoT architecture agriculture: perception or sensing actuator layer, network cloud application layer. The state art sensor technologies is examined review paper, along with some their potential uses, including 1) irrigation monitoring systems, 2) fertilizer administration, 3) crop disease detection, 4) (yield monitoring, quality processing logistic monotoring), forecasting, harvesting, 5) climate conditions 6) fire detection. Additionally, offers number can detect parameters like soil NPK, moisture, nitrate, pH, electrical conductivity, CO2, temperature, humidity, light, weather station, water level, livestock, plant disease, smoke, flame, flexible wearable. Subsequently, highlights advantages agriculture, superior efficiency, expansion, reduced resources, cleaner method, agility, product improvement. However, there still issues need be resolved technology used where covered also provide directions opportunities. will contribute helping readers researchers better understand academic achievement subject.

Language: Английский

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A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints

Agriculture, Journal Year: 2024, Volume and Issue: 14(7), P. 1141 - 1141

Published: July 14, 2024

Water is considered one of the vital natural resources and factors for performing short- long-term agricultural practices on Earth. Meanwhile, globally, most available freshwater are utilized irrigation purposes in agriculture. Currently, many world regions facing extreme water shortage problems, which can worsen if not managed properly. In literature, numerous methods remedies used to cope with increasing global crises. The use precision water-saving systems (PISs) efficient management under climate change them a highly recommended approach by researchers. It mitigate adverse effects changing help enhance efficiency, crop yield, environmental footprints. Thus, present study aimed comprehensively examine review PISs, focusing their development, implementation, positive impacts sustainable management. addition, we searched literature using different online search engines reviewed summarized main results previously published papers PISs. We discussed traditional method its modernization enhancing PIS monitoring controlling, architecture, data sharing communication technologies, role artificial intelligence water-saving, future prospects PIS. Based brief review, concluded that PISs seems bright, driven need systems, technological advancements, awareness. As scarcity problem intensifies due population growth, poised play critical optimizing modernizing usage, reducing footprints, thus ensuring agriculture development.

Language: Английский

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IoT-Based Smart Irrigation Management System to Enhance Agricultural Water Security using Embedded Systems, Telemetry Data, and Cloud Computing

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102829 - 102829

Published: Sept. 1, 2024

Language: Английский

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Design and evaluation of a solar powered smart irrigation system for sustainable urban agriculture

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 6, 2025

Abstract Urban areas face significant challenges, including a lack of green spaces, scarce water resources, environmental pollution, and elevated heat emissions, particularly in developing countries experiencing rapid population growth. Therefore, the study aims to advance sustainable urban agriculture by designing evaluating solar-powered smart rooftop irrigation system for peppermint cultivation. The incorporates two drip setups—conventional irrigation—powered photovoltaic (PV) panels. integrates real-time monitoring critical variables, (1) soil moisture, (2) relative humidity, (3) PV panel temperature, (4) current voltage. Key performance metrics such as energy consumption, use efficiency, productivity, carbon dioxide emissions were evaluated both systems. In addition, economic analysis was determined. Results revealed that reduced consumption 28.1% compared conventional irrigation. Additionally, achieved notable reduction footprint, with CO 2 0.181 kg CO₂/m /year 0.252 system. system’s demonstrated payback period 5.6 years, highlighting its financial viability. This underscores transformative potential systems enhancing food security, conserving water, reducing mitigating agriculture.

Language: Английский

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Enhancing Smart Irrigation Efficiency: A New WSN-Based Localization Method for Water Conservation

Water, Journal Year: 2024, Volume and Issue: 16(5), P. 672 - 672

Published: Feb. 25, 2024

The shortage of water stands as a global challenge, prompting considerable focus on the management consumption and irrigation. suggestion is to introduce smart irrigation system based wireless sensor networks (WSNs) aimed at minimizing while maintaining quality agricultural crops. In WSNs deployed in irrigation, accurately determining locations nodes crucial for efficient monitoring control. However, many cases, exact positions certain may be unknown. To address this paper presents new localization method localizing unknown WSN-based systems using estimated range measurements. proposed can determine nodes, even when they are located distance from anchors. It utilizes Levenberg–Marquardt (LM) optimization algorithm solve nonlinear least-squares problem minimize error estimating node locations. By leveraging known subset inexact measurements between pairs transformed into problem. validate effectiveness method, extensive simulations experiments were conducted. results demonstrate that achieves accurate nodes. Specifically, it 19% 58% improvement estimation accuracy compared vector-hop (DV-Hop) semidefinite relaxation-LM (SDR-LM) algorithms, respectively. Additionally, exhibits robustness against measurement noise scalability large-scale networks. Ultimately, integrating has potential achieve approximately 28% reduction consumption.

Language: Английский

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Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios

Agriculture, Journal Year: 2023, Volume and Issue: 13(6), P. 1149 - 1149

Published: May 30, 2023

Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) prolong lifetime WSN-based smart irrigation system under realistic scenarios. In proposed algorithm, power subcarrier assignment performed consecutively. Considering impact intercarrier interference (ICI) caused by timing offset, problem maximizing network-averaged capacity is formulated considering constraints in The obtained results reveal attempts maximize averaged CR-WSN subject total constraint tolerable interference. Numerically, can reduce network consumption up 30%, compared with conventional approaches, while maintaining high level performance terms secondary users’ (SUs) capacity.

Language: Английский

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Agriphotovoltaics as a profitable land use approach for regions in transformation? - An economic analysis and technical validation of suitable concepts

Sustainable Production and Consumption, Journal Year: 2025, Volume and Issue: 54, P. 115 - 128

Published: Jan. 8, 2025

Language: Английский

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Smart Irrigation Enhancement Through UAV-Based Clustering and Wireless Charging in Wireless Sensor Networks

Drones, Journal Year: 2025, Volume and Issue: 9(4), P. 253 - 253

Published: March 26, 2025

Wireless sensor networks (WSNs) enable large-scale data collection across wide areas but face significant challenges, including limited energy resources, unbalanced consumption, and inefficient transmission, leading to reduced network lifetime poor reliability. To address these issues, this paper proposes an energy-efficient clustering scheme that integrates unmanned aerial vehicle (UAV)-assisted wireless power transfer (WPT) enhance WSN performance in smart irrigation applications. The proposed divides the into two regions: a central circular area containing standard nodes outer region divided four clusters housing advanced nodes. It dynamically adjusts cluster formation, optimizes head (CH) selection based on residual energy, minimizes transmission hops, ensures shortest possible UAV path, thereby reducing consumption. Additionally, UAV-based WPT provides continuous replenishment, mitigating hotspot problem extending lifetime. Extensive simulations demonstrate reduces consumption by up 13.16%, enhances efficiency 8.84%, extends more than 9.6% compared Yoon’s scheme. achieves 26% higher 43% increase throughput over Moreover, applications, water approximately 20%, demonstrating its effectiveness for sustainable precision agriculture.

Language: Английский

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IoT based intelligent irrigation system using Arduino

AIP conference proceedings, Journal Year: 2024, Volume and Issue: 3050, P. 050008 - 050008

Published: Jan. 1, 2024

Agriculture is the backbone of success rural countries like India. In this way, proposed procedure to utilize mechanization and web thing (IoT) innovation form agribusiness smart. There are currently several commercial IoT frameworks for water system planning that create differentiators monitoring storage. However, framework focuses on exploiting newly available resources without controlling selected resources. Think about it, an inexpensive Arduino-based was developed design a computerized system, it will provide estimation requirements by using low-cost sensors. This paper around IOT based keen cultivating structure framework. The extreme motivation computerize method watering plants. work makes difference us notice values different parameters moisture, temperature, humidity plants them appropriately. can be done utilizing Arduino board, voltage controller transfer which commands engine. paper, we have created brilliantly control apportioning trim intelligently any administrator endeavors gadgets, sensors, particularly advanced procedures actualized in farming, such as shrewdly frameworks. main vision research detect minimum amount needed nourish Mass ranchers waste time instead focusing providing crops at need. find out desired quantity basis information received through sensors - advantage use precision cloud platforms, expand compost, also helps decision making. increase crop yields. weather conditions field. article moreover points domestic gardening kept up human checking. It consequently checks dampness soil beneath tree within cultivate case moo demonstrates message pours naturally from capacity associated. exact utilization strategy there may requirement precipitation or dried regions. For cause, mechanized utilized appropriate all conditions. detector sense substance demonstrate either pump not. offer assistance diminish wastage additionally grow indeed event isn't physically present. has been tested field tests calculate sensor accuracy, independent operation, usability monitoring, evaluate its capabilities functionality. appears used effectively management various resources: water, groundwater, seawater wastewater. By extension, shown frame long periods source control, make ideal device annual crops.

Language: Английский

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Sustainable Maize Production and Carbon Footprint in Arid Land Context: Challenges and Perspectives

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 24, 2024

Maize is a versatile crop that serves as staple food for millions of people and provides various raw materials. Its adaptability to different climates potential makes it economically valuable. However, the ongoing emissions greenhouse gases pose significant challenges sustain maize production. Sustainable agricultural practices are crucial mitigate gas reduce carbon footprints. Conservation tillage based on no-till promote sequestration, footprints compared conventional tillage. These potentially improve soil health water productivity. This chapter explores aspects production, with focus conservation systems, engineering technologies, footprint reduction. It discusses also perspectives in achieving sustainable begins an overview farming, highlighting its challenges. The second section advantages third part focuses technologies precision agriculture tools, well remote sensing. In fourth section, strategies reducing adopting clean energy farming considered. final addresses sustaining discussing barriers, opportunities, solutions.

Language: Английский

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