Deep learning algorithms, such as convolutional neural networks (CNNs), have been widely studied and applied in various fields including agriculture. Agriculture is the most important source of food income human life. In countries, backbone economy based on Pests are one major challenges crop production worldwide. To reduce overall economic loss from pests, advancement computer vision artificial intelligence may lead to early small pest detection with greater accuracy speed. this paper, an...

Smart farming is a hot research area for experts globally to fulfill the soaring demand food. Automated approaches, based on convolutional neural networks (CNN), crop disease identification, weed classification, and monitoring have substantially helped increase yields. Plant diseases pests are posing significant danger health of plants, thus causing reduction in production. The cotton crop, major cash Asian African countries affected by different types weeds leading reduced yield. Weeds...

Road transportation is the backbone of modern economies, albeit it annually costs 1.25 million deaths and trillions dollars to global economy, damages public health environment. Deep learning among leading-edge methods used for transportation-related predictions, however, existing works are in their infancy, fall short multiple respects, including use datasets with limited sizes scopes, insufficient depth deep studies. This paper provides a novel comprehensive approach toward large-scale,...

Thermal storage materials considering phase-changing (PCM) have attracted many researchers for thermal management of energy crises due to better temperature range suit the applications. However, effectiveness PCMs is affected by very low conductivity and this deficiency limits use as an efficient material. To increase PCM, different nanoparticles (NPs) with a higher value are added which called nano PCM. This paper presents preparation characterization phase change material enhanced metallic...

Abstract Restriction in nutrient acquisition is one of the primary causes for reduced growth and yield water deficient soils. Sulfur (S) an important secondary macronutrient that interacts with several stress metabolites to improve performance food crops under various environmental stresses including drought. Increased S supply influences uptake distribution essential nutrients confer nutritional homeostasis plants exposed limited conditions. The regulation metabolism plants, resulting...

Artificial Intelligence has been used for many applications such as medical, communication, object detection, and tracking. Maize crop, which is the major crop in world, affected by several types of diseases lower its yield affect quality. This paper focuses on this issue provides an application detection classification maize using deep learning models. In addition to this, developed also returns segmented images leaves thus enables us track disease spots each leaf. For purpose, a dataset...

E-learning sites are useful for improving the skills and awareness of academic backbone, such as instructors, students, administrative staff, those who searching current information about various educational institutes. Despite all benefits an online learning platform, users face some challenges complexities, selecting appropriate material courses based on their needs preferences. Hence, provision quality resources during training phases is central responsibility, lack assistance offered by...

Smart societies require next generation mobility platforms and applications to enable the needed quality pace of life. This paper proposes a mobile computing system that enables smarter cities with enhanced information through big data technologies, fogs clouds. The includes application, backend cloud-based analysis system, middleware platform based on fog computing. architecture its component technologies are described in addition application use case. used this have been literature past....

Rapid transit systems or metros are a popular choice for high-capacity public transport in urban areas due to several advantages including safety, dependability, speed, cost, and lower risk of accidents. Existing studies on have not considered appropriate holistic models integrated use cutting-edge technologies. This paper proposes comprehensive approach toward large-scale faster prediction metro system characteristics by employing the integration four leading-edge technologies: big data,...

Deep learning (DL) is a core constituent for building an object detection system and provides variety of algorithms to be used in applications. In agriculture, weed management one the major concerns, systems could great help improve production. this work, we have proposed DL-based model that can efficiently effective crops. Our uses Convolutional Neural Network based You Only Look Once (YOLO) training prediction. The collected dataset contains RGB images four different species named Grass,...

Biosecurity and biosafety are essential for avoiding limiting disease transmission among humans, animals, the environment. Given rising incidence of zoonotic outbreaks like COVID-19 avian influenza, it is to establish comprehensive frameworks incorporating biosecurity measures across all industries. This study aimed assess effectiveness protocols in mitigating at human-animal-environment interface. A mixed-methods strategy was employed, field observations, surveys, environmental sampling,...

This review analyzes the combination of biosecurity protocols with One Health framework in mitigating emerging infectious diseases (EIDs), which pose an increasing global health risk. Emerging frequently zoonotic, present substantial threats to human, animal, and environmental Health, underscoring necessity for cooperative initiatives between paradigms. consolidates available evidence assess efficacy these integrated techniques, highlighting significant trends, problems, deficiencies...

The agricultural industry is experiencing revolutionary changes through the latest advances in artificial intelligence and deep learning-based technologies. These powerful tools are being used for a variety of tasks including crop yield estimation, maturity assessment, disease detection. cotton an essential source revenue many countries highlighting need to protect it from deadly diseases that can drastically reduce yields. Early accurate detection quite crucial preventing economic losses...

This study explores the use of AI-powered tools such as language learning applications, chatbots, adaptive systems, and speech recognition software in context Chinese acquisition by international students. Using a qualitative phenomenological approach, investigates how fifteen students at Southwest University engaged with these tools, challenges they encountered, technologies shaped their linguistic development cultural integration. Data were gathered through semi-structured interviews,...

This study explores the use of AI-powered tools such as language learning applications, chatbots, adaptive systems, and speech recognition software in context Chinese acquisition by international students. Using a qualitative phenomenological approach, investigates how fifteen students at Southwest University engaged with these tools, challenges they encountered, technologies shaped their linguistic development cultural integration. Data were gathered through semi-structured interviews,...

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The present study involved two pot experiments to investigate the response of mung bean individual or combined SO42- and selenate application under drought stress. A marked increment in biomass NPK accumulation was recorded seedlings fertilized with various sources, except for CuSO4. Compared other fertilizers, ZnSO4 resulted highest increase growth attributes shoot nutrient content. Further, S Se (S + Se) significantly enhanced relative water content (16%), SPAD value (72%), photosynthetic...