Securing the Internet of Things: AI-Powered Threat Detection and Safety Measures DOI
Leena Arya, Yogesh Kumar Sharma,

Suman Devi

et al.

Lecture notes in electrical engineering, Journal Year: 2024, Volume and Issue: unknown, P. 97 - 108

Published: Jan. 1, 2024

Language: Английский

Smart Agriculture Drone for Crop Spraying Using Image-Processing and Machine Learning Techniques: Experimental Validation DOI Creative Commons

Edward Singh,

Aashutosh Pratap,

Utkal Mehta

et al.

IoT, Journal Year: 2024, Volume and Issue: 5(2), P. 250 - 270

Published: May 22, 2024

Smart agricultural drones for crop spraying are becoming popular worldwide. Research institutions, commercial companies, and government agencies investigating promoting the use of technologies in industry. This study presents a smart agriculture drone integrated with Internet Things that machine learning techniques such as TensorFlow Lite an EfficientDetLite1 model to identify objects from custom dataset trained on three classes, namely, pineapple, papaya, cabbage species, achieving inference time 91 ms. The system’s operation is characterised by its adaptability, offering two spray modes, modes A B corresponding 100% capacity 50% based real-time data, embodying potential monitoring autonomous decision-making. operated X500 development kit has payload 1.5 kg flight 25 min, travelling at velocity 7.5 m/s height 2.5 m. system aims improve sustainable farming practices optimising pesticide application improving health monitoring.

Language: Английский

Citations

8

A Decision Support System for Wheat Powdery Mildew Risk Prediction Using Weather Monitoring, Machine Learning and Explainable Artificial Intelligence DOI
Grygorii Diachenko, Іvan Laktionov,

Oleksandr Vinyukov

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 230, P. 109905 - 109905

Published: Jan. 10, 2025

Language: Английский

Citations

0

Field to Cloud DOI
Mrutyunjay Padhiary

Advances in systems analysis, software engineering, and high performance computing book series, Journal Year: 2025, Volume and Issue: unknown, P. 391 - 430

Published: April 30, 2025

The integration of Internet Things (IoT) into the agricultural sector exhibits potential for modernising conventional farming and tackling various obstacles faced by community. This chapter focuses on transformative capacity IoT in sector, stressing significant insights discoveries obtained from several case studies. enables farmers to empower efficient operations risk reduction monitoring analysing data real-time. Real world applications show IoT's precise agriculture solutions, which contribute sustainable farm mechanisation, enhanced livestock management, food safety, blockchain technology, supply chain visibility. Collaboration among stakeholders, giving priorities research innovation, encouraging technology adoption are essential progress. By adopting incorporating inputs, industry can initiate an approach towards automation, thereby guaranteeing a prosperous future communities global scale.

Language: Английский

Citations

0

A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian case study in the global context DOI
Іvan Laktionov, Grygorii Diachenko, Vita Kashtan

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 225, P. 109326 - 109326

Published: Aug. 16, 2024

Language: Английский

Citations

2

Towards a Greener Tomorrow: IoT-Enabled Smart Environment Monitoring Systems DOI
Leena Arya, Yogesh Kumar Sharma, Ramakrishna Kumar

et al.

Published: Nov. 23, 2023

Integrating IoT technology into environmental monitoring systems offers solutions to contemporary sustainability challenges. This study explores IoT's potential enhance sustainability, focusing on improved air and water quality monitoring, resource-efficient precision agriculture, waste management. It also addresses challenges such as cybersecurity risks scalability. Ultimately, it underscores the pivotal role of in advancing emphasizing imperative informed decision-making, use cases, proactive measures pave way for a greener healthier tomorrow.

Language: Английский

Citations

2

Perennial dicotyledonous weeds of soybean agrocenoses of Primorsky Krai DOI

Т. В. Мороховец,

Svetlana Vostrikova,

Vadim Morokhovets

et al.

AIP conference proceedings, Journal Year: 2024, Volume and Issue: 3184, P. 020038 - 020038

Published: Jan. 1, 2024

Language: Английский

Citations

0

Interpretability in Mapping Weeds and Crops from Drone Images DOI
Sonia Farhana Nimmy, Md. Sarwar Kamal, Omar Khadeer Hussain

et al.

2022 International Joint Conference on Neural Networks (IJCNN), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 8

Published: June 30, 2024

Language: Английский

Citations

0

Securing Fog Computing Through Consortium Blockchain Integration DOI
Mohammed Amin Almaiah,

Tayseer Alkdour

Advances in data mining and database management book series, Journal Year: 2023, Volume and Issue: unknown, P. 107 - 140

Published: Sept. 28, 2023

The authors have developed an innovative topology by amalgamating consortium blockchain, often referred to as supervisory with fog computing. proposed system is organized into three distinct layers: the application layer, and blockchain security layer. To accommodate this model effectively, introduce novel proof of enhanced concept (PoEC) consensus mechanism. This approach employs homomorphic encryption secure transactions, which are then outsourced layer or devices. strategy mitigates various threats, including collusion attacks, phishing replay bolstering resilience each against such incursions. bolster measures further, our adopts a hybrid-deep learning protocol for safeguarding electronic medical records potential breaches while concurrently reducing latency through decentralized computing system.

Language: Английский

Citations

1

Maximizing IoT Security: An Examination of Cryptographic Algorithms DOI
Leena Arya, Yogesh Kumar Sharma, Ramakrishna Kumar

et al.

Published: Dec. 19, 2023

The proliferation of Internet Things (IoT) devices has created a ubiquitous network interconnected sensors and that generate exchange vast amounts data. With this increased connectivity comes pressing need for robust security measures to safeguard IoT communications' integrity, confidentiality, authenticity. This paper categorizes cryptographic algorithms commonly employed in security, including symmetric asymmetric encryption methods, digital signatures, key protocols. By examining the attributes these algorithms, their strengths, potential vulnerabilities, assesses effectiveness within unique context IoT. Furthermore, highlights significance algorithm optimization security. Strategies enhancing efficiency, such as selection, management, hardware acceleration are thoroughly explored. Through case studies, underscores practical implications selection optimization, illustrating how they can prevent breaches enhance

Language: Английский

Citations

1

Deep Learning Techniques for Weed Detection in Agricultural Environments: A Comprehensive Review DOI Creative Commons
Deepthi G. Pai, Radhika Kamath, Mamatha Balachandra

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 113193 - 113214

Published: Jan. 1, 2024

Language: Английский

Citations

0