Volume 12 | Issue 9 |

 Abstract

The comprehensive application of pesticides in agricultural practices to meet the food demand of growing world population resulted in accumulation of these pesticides into abiotic environment and biotic entities at different hierarchical levels. These toxic chemical substances are highly carcinogenic and a necessary step should be taken to control the application into agricultural practices. In the present study, the soil samples were collected from 8 different agricultural soils (primarily vegetable crops) of East Godavari, Andhra Pradesh, India during post harvesting time and to evaluate multiresidue pesticides qualitatively using QuickEasy Cheap Effective Rugged Safe (QuEChERS)-Dispersive Solid Phase Extraction (dSPE) clean up combined Gas-Chromatography Mass Spectrometry (GC-MS) method. The physiochemical parameter analysis of all soil samples revealed no observed large-scale variation among all study sites. The GC-MS analysis showed presence of 5 major pesticide compounds namely Terbufos (Organophosphate insectide), Propiconazole (Triazole fungicide), Tebuconazole (Triazole fungicide) Cypermethrin (Pyrethroid insecticide) and Diclofop-methyl (Herbicide). It is evident that the use of restricted pesticides in agricultural operations is still ongoing, and it is essential to regulate this at the fundamental level of agriculture.

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 Keywords

Pesticides, Agricultural Soils, QuEChERS-dSPE cleanup, GC-MS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Plant cryopreservation, Developed methods

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Creative Commons Attribution 4.0 and The Open Definition

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Now a days shopping at the mall have become a daily routine in big cities. People buy a different product and deposit them in the trolley. The modern technology has increased the standard of living for the humans. This resulted in large crowds at shopping malls. To handle the large crowd, we must reduce the process of the billing time. This is done using smart shopping system based on RFID. Items that are put in a smart shopping cart are read one by one and the bill is generated and displayed. After the final bill is generated the customer pays the bill by using their Pre charged cards provided by the shopping mall. The aim is to reduce the time consumption needed for the billing system. After total purchase one need to go to billing counter for the payment which is very time consuming and at times very frustrating. So our main objective for designing this prototype is to reduce the human efforts, eliminate the queue and also eliminate the time taken during billing. Our prototype consist of components such as RFID tags which is used for identification of the product, RFID reader which is used for scanning of product when put in the trolley and it display in the LCD Display. So at the billing counter the data is sent into the server.

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Creative Commons Attribution 4.0 and The Open Definition

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SMART SHOPPING CART

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the era of advancing technology, efficient management of foot traffic in various establishments has become imperative. The Smart Entry Counter (SEC) represents a pioneering solution aimed at accurately and automatically counting entries and exits within a premise. This abstract explores the fundamental components and functionalities of the SEC, emphasizing its capabilities in real-time data collection and analysis.The SEC operates on a combination of cutting-edge sensors, such as infrared and depth cameras, coupled with sophisticated image processing algorithms. These sensors detect and distinguish individuals entering or existing, ensuring precise counting without human intervention. Data collected bythe SEC is instantly transmitted to a centralized database or cloud platform, facilitating immediate access to entry statistics and trends. Furthermore, the SEC offers versatility in deployment across diverse environments, including retail stores, public venues, and transportation hubs. Its ability to integrate with existing infrastructure and provide seamless operational insights makes it a valuable tool for optimizing resource allocation and enhancing customer experiences.The Smart Entry Counter represents a transformative technology poised to revolutionize the management of foot traffic by offering accurate, real-time data collection and analysis capabilities. As advancements continue, the SEC promises to redefine efficiency and decision-making processes in various sectors, ultimately shaping the future of crowd management systems worldwide.

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SMART ENTRY COUNTER

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 Abstract

Thepurposeistosolvetheproblemsthatrestrict thedevelopment of cities, suchastheuntimely disposal of garbage, the incomplete classification of kitchen waste and other recyclable garbage, and the inefficiency of sanitation workers. At present, a common garbage bin in use just carries a single and limited function, and the appliedintelligentgarbagebinhasa disadvantageofhigh mechanical consumption. It needs to consume more energy of environmental sanitation workers,and garbage classification depending on human labor is inefficient. However, my research object is a kind of intelligent garbage bin based on Narrow Band Internet of Things (NB-IoT) technology, which is different from anordinary garbage bin. It adds a garbage detection andclassification function based on Internet of Things perception system, through infrared sensor's, odor sensors to achieve various functions. It uses NB-IOT communication module to transmit information. Thisnew intelligent garbage bin can make the sanitation workers gain the information whether the rubbish becomesfullandwhethertherubbishispoisonousor not. In this paper, we presented the smart waste-bin that can managed the waste in a smart city project. The system consist of sensors to measure the weight of waste and the level of waste inside the bin. The system also adapt with network environment, to manage all information from waste management. As the result we proposed aprototype of smart waste-bin that suitable for many kind of conventional waste-bin. In the era of developing technology where the urbanization isincreasingrapidly,thecorrespondingwasteis increasing exponentially. As the concept of smart cities is emerging, there is a need for a proper framework inorder to tackle this problem. Although a lot of effortshave been put by researchers to propose various approaches to circumvent this issue, the problem still remains. The major problem faced while designing a smart method for waste collection and monitoring is the segregation of different types of wastes. The waste is still being segregated manually, thus producing a harmful effect on the segregator itself. This paper reports an automatic segregator system that can differentiate and store dry and wet waste separately. The developed prototype of the system efficiently segregates dry and wet waste in their respective containers.

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 Keywords

Bomb detection, level sensing, IOT based smart waste management, infrared sensors, Narrow Band Internet of Things (NB-IoT) technology, automatic segregator system, conventional waste-bin

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, the field of image classification has experienced significant advancements due to the proliferation of machine learning techniques. This paper presents a novel approach to image classification utilizing Python, emphasizing the integration of modern deep learning frameworks. We explore the implementation of Convolutional Neural Networks (CNNs) using TensorFlow and Keras to enhance the accuracy and efficiency of classifying complex image datasets. The study involves a detailed examination of various preprocessing techniques, model architectures, and hyperparameter tuning strategies. Our experiments demonstrate improved performance metrics over traditional methods, showcasing the potential of these tools in real-world applications. The findings contribute to the ongoing research in computer vision by providing insights into optimizing model training and achieving robust classification results. Future work will focus on extending this approach to handle diverse image types and improving computational efficiency.

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Image Classification Using Python

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Creative Commons Attribution 4.0 and The Open Definition

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In modern military operations, the ability to maintain real-time awareness of soldiers' health and positions is paramount for both mission success and individual safety. Presents a Soldiers Health and Position Tracking System (SHPTS) designed to provide comprehensive monitoring and communication capabilities for military personnel. The SHPTS integrates state -of-the-art wearable sensors, GPS technology, and secure data transmission protocols to continuously track key health metrics such as heart rate, body temperature, hydration levels, and physical exertion. Simultaneously, it records precise positional data, allowing for dynamic tracking of troop movements in real-time.

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SOLDIER'S HEALTH AND POSITION TRACKING SYSTEM

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 Abstract

A Pesticide Spraying Robot (PSR) using the Arduino IDE integrates advanced agricultural technologies to optimize pesticide use, enhancing both efficiency and sustainability. The system employs a variety of sensors, including temperature, humidity, soil moisture, and light sensors, all connected to an Arduino microcontroller. This setup allows for real-time monitoring of environmental conditions and pest activity. By processing the collected data, the Arduino can trigger precise pesticide application based on predefined conditions, ensuring that chemicals are used only when necessary and in optimal amounts. The Arduino IDE facilitates the creation of custom programstoanalyzesensordataandautomatepesticidedelivery. Actuators such as solenoid valves and GPS-enabled robotic sprayers can be controlled to apply pesticides accurately, minimizing waste and reducing the impact on non-target organisms. Communication modules like Wi-Fi or Bluetooth enable remote monitoring and control, providing farmers with the flexibility to manage pest control operations from any location. This integration of real-time data analytics and automation leads to significant cost savings, improved crop yields, and reduced environmental harm. Accessible and affordable, the Arduinoplatformmakes PSRfeasible for small- scalefarmersandthoseindevelopingregions.Theuser-friendly nature of the Arduino IDE, combined with extensive online resourcesandcommunitysupport,facilitatestheimplementation andcustomizationofthesystem.Byoptimizingpesticideuse,the PSR not only enhances economic viability for farmers but also supports environmental sustainability by reducing chemical runoff, protecting soil health, and preserving biodiversity. This innovative approach represents a significant advancement in sustainable agricultural practices, leveraging technology to address the challenges of modern pest management.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pesticide sprayer, remote controlled, agricultural use, Arduino IDE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Numerous electric vehicles (EV) charging schemes are documented in the literature, demonstrating their effectiveness in promoting EV adoption. This article conducts a thorough analysis of current and future electric vehicle charging systems, focusing on power converter topologies, power handling capabilities, power flow direction, and charging technique control algorithms. The article concludes by addressing potential future challenges arising from increased EV penetration and highlighting key research areas to address the impacts of EV charging infrastructure.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Distribution System, Electric Vehicle Charging Station Infrastructure, Power flow

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This Study presents the design and implementation of an embedded system for monitoring and enhancing driver safety using a combination of health and environment l sensors, along with location and communication modules. The system integrates a heart beat sensor, sweats sensor, ultrasonic sensor, GPS, and GSM module to provide real-time monitoring and alerts. The heart beat sensor and sweat sensor track the driver's physiological conditions, detecting signs of stress or health issues. The ultrasonic sensor monitors the vehicle's surroundings to prevent collisions. The GPS module tracks the vehicle's location, and the GSM module enables communication with a central erver or emergency contacts. This comprehensive system aims to improve driver safety by providing real-time health monitoring, environmental awareness, and emergency response capabilities, representing a significant advancement in the integration of e Safety applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Embedded system, Heart beat sensor, Sweat sensor, Ultrasonic sensor, GPS, and GSM module.

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Creative Commons Attribution 4.0 and The Open Definition