This study aims to give an overall comparison among three of the most powerful convolutional neural network (CNN) architectures-VGG16, VGG19, and ResNet for classification leaf diseases, particularly targeting blight, ESCA, black rot, healthy leaves. With consequent economic effects these diseases on viticulture, it is essential create precise, productive, scalable diagnostic tools pursuit sustainable agricultural practices. Using a very large dataset grapevine images acquired from different...

Pharmacovigilance is essential for ensuring public health by monitoring adverse drug reactions (ADRs) post-marketing, as clinical trials often miss rare or long-term effects. This overview emphasizes the roles of global regulatory bodies like WHO, FDA, and EMA in safety through systems such VigiBase FAERS. Key methods include spontaneous reporting, epidemiological studies, post-marketing surveillance, each with unique advantages challenges. Objectives focus on continuous monitoring, actions,...

Poultry farming based products significantly contribute in providing healthy and protein-based food to human beings. The rapid increase demand for poultry-based the growth of information communication tools lead smart poultry farms. environment farm has a significant impact on health birds production farm. This article proposes low-cost edge computing Internet Things (IoT)-based solution farms control with minimal intervention diseases model will sense temperature, humidity, greenhouse...

In poultry farms, the internal environment and movement of birds directly impacts health birds. Timely analysis data is important as it may lead to an unhealthy for Traditionally, techniques were performed on collected from Internet Things (IoT) devices in cloud. However, cloudbased solutions are constrained by lower bandwidth available farms situated rural areas. Also, IoT have limited computational capabilities. The increase processing capabilities device facilitates itself termed edge...

Temperature is a commonly used environmental factor that directly impacts both health of chicks and production in poultry farming. The cold weather makes the environment more conductive for certain infection diseases like Newcastle Avian influenza, whereas heat stress or high temperature cause poor food efficiency decreased production. Hence, prediction with support machine learning (ML) deep (DL) models advance advantageous Real-time data captured Internet Things (IoT) nodes sent to clouds...

Poultry farming is a significant contributor to providing healthy and protein-rich products humans at low cost. Disease in poultry causes considerable loss for farmers raises food security issues. Thermo graphic cameras can detect early infections the farm inform of necessary actions avoid spreading disease among birds. It also monitor floor temperature, air inlet following patterns, cooling system efficiency well-being Despite several advantages thermo cameras, setup cost very high acts as...

Smart grid is a two-way digital communication which allows monitoring, control, and analysis of energy delivery network. In this paper, smart meter proposed for overload detection, automatic billing, theft detection. The integration the microcontroller GSM provides reading system can send information like consumed in kWh, produced charge, security services (line Cut/On) through module. be incorporated into existing management situated at power organizations or associations. This project...

In this research work, a village near Haryana-Rajasthan border named Nangal is studied where solutions of problems are proposed using smart technologies. The consists around 600 houses and population 2200. This has different types soil, water issues, schools, sewage system, streetlights, hospital, forest land. the village, for suggested. Moreover, cost solution also calculated. For converting into it will approximately Rs. 1.5 crore.

The outbreak of several panicle and foliage diseases causes a major threat to agricultural production sustainability. This article introduces the disease categorization method for three types leaf that uses CNN architecture through federated learning framework classify them into four dryness levels. In this, stakeholders, who are data centers contribute this collaborative learning, demonstrate its effectiveness in tackling agriculture domains wide range fields agribusiness. Through profound...

The importance of security in the Internet Things (IoT) has prompted numerous studies on scalable and modular encryption techniques. It is preferable to use lightweight specialized cryptographic techniques for many IoT applications due low budget limited resources high-volume consumer devices like RFID tags, smart cards, wireless sensor nodes. This paper provides detailed analysis ultra-lightweight algorithms (U-LWC) along with hardware implementation. In this work, extensive classifications...