Journal ArticleDOI
A smart agriculture framework for IoT based plant decay detection using smart croft algorithm
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In this article , the authors proposed a model to build up an automated framework which will recognize the crop decay in the initial phase which is imperceptible to naked human eyes, this model helps in prevention of huge losses and also save a lot of time and labor.About:
This article is published in Materials Today: Proceedings.The article was published on 2022-03-01. It has received 14 citations till now. The article focuses on the topics: Cloud computing & Computer science.read more
Citations
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Journal ArticleDOI
Efficient Dynamic Phishing Safeguard System Using Neural Boost Phishing Protection
Abdul Quadir Md,Dibyanshu Jaiswal,Jay Daftari,Sabireen Haneef,Celestine Iwendi,Sanjiv Kumar Jain +5 more
TL;DR: This paper proposes an innovative approach to help users to avoid online subterfuge by implementing a Dynamic Phishing Safeguard System (DPSS) using neural boost phishing protection algorithm that focuses on phishing, fraud, and optimizes the problem of data breaches.
Proceedings ArticleDOI
Intruder Detection System using IoT with Adaptive Face Monitoring and Motion Sensing Algorithm
TL;DR: The results show that by combining the CCTV and Motion sensor, the detection of intrusion is more efficient and this combination helps to reduce the blind spot.
Proceedings ArticleDOI
A Robust Pipeline Approach for DDoS Classification using Machine Learning
TL;DR: A robust pipeline for DDoS classification is proposed and the performance of the models are calculated against the metrics such as precision, recall and f1-scores and the XGboost algorithm works well on the data set with an accuracy score of 99% outperforming other models.
Proceedings ArticleDOI
Reliability of Smart-Wearables using PSO-GA Optimized Algorithm in Terms of Data Analysis
TL;DR: In this article , a new model to cater to the user-end experience based on the PSO-GA optimized ANFIS approach is proposed, which consists of alternating phases of genetic algorithm and particle swarm optimization.
Proceedings ArticleDOI
An Efficient Dynamic K - Papa Architecture for Communicating with the Things using Collision-Free Algorithm
TL;DR: The tag identification and location-based collision-free algorithm works even in the presence of many UHF RFID tag readers and will detect all the RFID tags present nearby and authenticate them by comparing the information present in the database.
References
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Proceedings ArticleDOI
IOT Based Monitoring System in Smart Agriculture
TL;DR: Monitoring temperature and humidity in agricultural field through sensors using CC3200 single chip to improve the yield of the efficient crops and making use of evolving technology i.e. IoT and smart agriculture using automation.
Journal ArticleDOI
IoT-Based Strawberry Disease Prediction System for Smart Farming.
TL;DR: In this study, cloud-based technology capable of handling the collection, analysis, and prediction of agricultural environment information in one common platform was developed and the IoT-Hub network model was constructed.
Journal ArticleDOI
An IoT-based cognitive monitoring system for early plant disease forecast
Ahmed Khattab,S. E. D. Habib,Haythem O. Ismail,Sahar Zayan,Yasmine A. Fahmy,Mohamed M. Khairy +5 more
TL;DR: An IoT-based monitoring system for precision agriculture applications such as epidemic disease control and an expert system that allows the system to emulate the decision-making ability of a human expert regarding the diseases and issue warning messages to the users before the outbreak of the disease is developed.
Proceedings ArticleDOI
Precision agriculture using remote monitoring systems in Brazil
TL;DR: A real-time, in-situ agricultural internet of things (IoT) device designed to monitor the state of the soil and the environment and it is composed of temperature and humidity sensors, electrical conductivity of the land and luminosity, Global Positioning System (GPS), and a ZigBee radio for data communication.
Journal ArticleDOI
Modified ride-NN optimizer for the IoT based plant disease detection
TL;DR: This work develops a novel classifier, named sine cosine algorithm based rider neural network (SCA based RideNN) for the disease detection such that the weights in the neural network are chosen optimally.