More over 58 percentage of the population works in agriculture, which accounts for more than 20 percent India's total GDP.This research concentrates on plant diseases because they pose a serious danger to small-scale farmers' livelihoods and food production.In conventional farming, skilled employees are used visually inspect each row order identify diseases.This labor-intensive, time-consuming task is inherently fault it carried out by humans.The purpose this study create an automated...

The introduction of cutting-edge technologies like Internet Things (IoT) detectors and drones, farm surveillance, is transforming the farming sector in Big Data era. Huge quantities priceless agridata are generated by IoT systems, application enable true collection analysis this information. This technological combination, referred to as "smart farming," enables different agriculture-based players analyze plants real-time enhance profitability efficiency company activities with least amount...

This abstract recognizes the synergy between emerging technologies (optical switching, security systems, and performance evaluation metrics) existing in a dynamic landscape of fibre optic communication. Optical switching sees it play an even bigger role more than just redirecting path with mirrors or lenses but molding future space-time how fast that light can carry data. While we are traversing this landscape, secure system integration brings breath fresh air form intrusion detection...

This abstract is a multi-dimension tapestry illustrating the relationship between central figures of UAVs, sensors and data analysis techniques in kaleidoscopic world precision agriculture. The recent progress UAVs technology, along with powerful processing algorithms has made UAV vital tool for crop health monitoring. growing need Early Detection Crop Diseases underlying echo this study that stresses on reducing potential losses due to these diseases, improve agricultural productivity....

Road damage often includes potholes, cracks, lane degradation, and surface shading. Potholes are a common problem in pavements. Detecting them is crucial for maintaining infrastructure ensuring public safety. A thorough assessment of pavement conditions required before planning any preventive repairs. Herein, we report the use transfer learning deep (DL) models to preprocess digital images pavements better pothole detection. Fourteen were evaluated, including MobileNet, MobileNetV2,...

The Wireless sensor network for disaster management systems uses effective sensors to predict and monitor disasters provide real-time alerts. A of wireless that measures water level check or update related floods, detect frequency through accelerometer earthquakes, temperature, humidity, atmospheric pressure unpredictable weather conditions, additionally gas are used harmful gases near industries allow quick response at the time disaster. This gave sufficient affected guardians nearby, as...

The Internet of Things (IoT) provides customers with seamless integration and interoperability between gadgets, technologies, or products, across multiple networks focus on control schemas. Regardless the node, whether it is a smartphone, tablet, laptop, TV, automobile, other Internet-compatible gadget, end-users want fast clear connection. Intelligent IoT devices can act as flexible connectors variable structures, allowing rapid responses possibly universal access. Consequently, gadgets...

Airborne diseases cause detriment in the human life.Many were found history such as TB, SARS, MERS and recently COVID 19.These hit dead rate crushes health wealth of world population.Mostly, airborne will spread rapidly crowdy places.Especially, case COVID-19, Wearing mask monitoring body temperature by individual is good solution to prevent rapid disease.So, keeping safety measures face crucial places Airports, railway stations, Bus Stations, malls, temples, etc. obligatory.With a focus on...

Conventional power transmission and distribution schemes have been completely transformed by the development of Smart Grid (SG). Nearly every field has impacted technology advancements, including smart grids. Electricity also isn't inexpensive to produce, so Meters (SM) play a crucial role in controlling, managing, performing efficiency use electricity successfully on customer side, which would be referred as demand side management (DSM). A Home Energy Management System (HEMS) proposed...

Researchers desperately ought to build an efficient turbine problem detection & simulation environment given the quick increase in wind energy capacity and steadily rising operational cost duration of generators. The two aspects fault identification prediction are employed describe primary features We examine synthesize studies on techniques that rely vibrating, electrical impulse evaluation, pattern matching address challenging difficulties defect detection. During same period, we highlight...

An enormous amount of heterogeneous Textual Medical Knowledge (TMK), which is crucial to healthcare information systems, has been produced by the explosion information. Existing efforts incorporate and use textual medical knowledge primarily concentrate on setting up simple links pay less attention creating computers comprehend accurately rapidly. Self-diagnostic symptom checkers clinical decision support systems have seen a significant rise in demand recent years. rely bases that are either...

Summary The Internet of Things is considered to be an emerging trend since it facilitates more effective communication among smart devices. IoT technology acts as a double‐edged sword that has multiple advantages, along with the cyber threats in network have increased proportionally which initiates necessity for manufacturers provide in‐built security‐enabled physical Therefore, ensuring security against threats, this research proposed novel innovative detection method relying on hybridized...

Recent times have seen a rise in the amount of focus placed on configurations big data and Internet Things (IoT). The primary researchers was development analytics solutions based machine learning. Machine learning is becoming more prevalent this sector because its ability to unearth hidden traits patterns, even within exceedingly complicated datasets. This one reason why case. For purpose study, we applied our Big Data (IoT)-based system use case that involved processing weather...

Brain diseases are a growing concern in healthcare, with an estimated 50 million people worldwide living dementia and 15 new cases each year. This research paper explores the significance of early identification diagnosis mitigating impact brain on individuals society at large. Moreover, study delves into current state diagnostic practices, highlighting limitations emerging opportunities field. The concludes by advocating for increased research, improved access to advanced medical...