Volume 9 | Issue 5

 Abstract

Among all the rice production systems in India the major constraint is the weed competition. With their added costs of weed control, they account for yield losses equating to about more than half of total rice imports. In case of upland rice, the prevailing weed species are Cogon grass, Nut grass, Devil weed, Desert poinsettia and Striga the parasitic weed species. while the perennial weeds species include Nut grass, Red rice being annuals, Goose weed, Rice sedge, Barnyard millet, Grass like fimbry and African wild rice may cause serious losses in rice. Conventional practices followed in Indian weed management practices in rice based cropping systems are trash burning, hand hoeing, tilling of soil, weeding, applying herbicides, flooding with water, fallowing and crop rotation practices either used in particular or in combinations to control weeds. Indian farmers face a lot of problems due to shortage of labour, lack of awareness about weed management practices and lack of sufficient inputs and funds. Integrated and ecologically balanced approaches are suggested to minimise the cost of socio- economic and environmental factors to get benefits. Emphasis should be on local practices that are affordable and are easily adaptable by the farmers. One needs to focus on the biology of weeds, their ecology and analyse the results of various weed management approaches with respect to environmental influence on weeds. To bring in the issue of the diversity of rice-based cropping systems in India, there is a need to set priorities, information delivered considering local conditions. To achieve this there is a need for researchers and farmer participatory approaches like conservation tillage, rotation of crops, smothering crops and zero tillage.

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 Keywords

Integrated weed management, Cropping systems, Seed weed bank, Rice, Tillage

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 Abstract

A greenhouse is a building with walls and a clear roof that is used to monitor climatic conditions. These structures are used to grow plants, fruits, and vegetables that require a particular amount of sunlight, temperature, humidity, and soil moisture. The Greenhouse Environment Monitoring and Controlling Project, which uses Bluetooth and Arduino to keep these conditions in the green house, is built to keep them there. Temperature, Humidity, and Light are detected by the four sensors used in the Bluetooth and Arduino-based Greenhouse Environment Monitoring and Control project. If the humidity value determined by the sensor exceeds the threshold value or the soil moisture in the greenhouse decreases, the micro controller can turn on the blower to reduce humidity and open the water outlet to increase moisture in the soil and soil moisture in the greenhouse.

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 Keywords

bluetooth module,turbidity sensor,DHT11 sensor.

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 Abstract

Content-based image retrieval is a process framework that applies computer vision techniques for searching and managing large image collections more efficiently. With the growth of large digital image collections triggered by rapid advances in electronic storage capacity and computing power, there is a growing need for devices and computer systems to support efficient browsing, searching, and retrieval for image collections. We propose a RDH with triple DES block-based transformation algorithm to achieve the purpose of image content protection. More importantly, under the proposed image content protection framework, image retrieval and image convolution can also be performed directly on the content-protected images. As a consequence, not only secure image storage and communication are accomplished, but also the computation efforts can be fully distributed, thus making it a perfect match for nowadays popular cloud computing technology. Security analyses are conducted to prove that the proposed image encryption scheme offers certain degree of security in both statistical and computational aspects.

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 Keywords

DES block, JPEG Image & Testing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The objective of this research paper is to build Covid-19 Detection system using machine Learning so it can reduce the efforts of radiologist can be faster and efficient to carry out final results.as we all know Covid-19 is a rapidly spreading viral disease that infects humans as well as animals are also infected because of this disease. Due to this deadly viral disease The regular life of peoples and the economy of a country are affected . Covid-19 is a normal spreading disease, and till now. These kind of patients are mostly infected from a lung infection after coming in touch with this disease and this has been shown by clinical study of COVID-19 one who infected.For diagnosing of lunge related problem Chest x-ray (i.e., radiography) and chest CT are a more effective imaging technique Still, a substantial chest x-ray is a lower cost process in comparison to chest CT. To provides useful analysis to study a large amount of chest x-ray images that can critically impact on screening of Covid-19 ,Deep learning is the most successful technique used. For covid-19 affected patients as well as healthy patients, for this work We have used the PA view of chest x-ray scans. By applying data after cleaning up the images augmentation, we have used deep learning based CNN models & compared their results. We have compared some Inception V3 and Xception, and ResNeXt models and examined their accuracy. To analyze the model performance, 120 chest x-ray scans samples have been collected from the Kaggle and github, out of which 5007 were used for training and 900 for validation purpose. In result analysis, the Xception model gives the highest accuracy 98% for detecting Chest X-rays images as compared to other models such as Darkcovid. This work only focuses on methods of classifying covid-19 infected patients and does not claim any medical accuracy

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 Keywords

Deep Learning , artificial intelligence ,Machine Learning , Neural Network, Covid-19 , CNN

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 Abstract

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Pedagogy, pedagogical practices and business studies teachers

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 Abstract

LIBRID is an Android application based on the Library Management system and uses RFID. The app is used to help students and the library to manage Library activities with this app. A good way to store, organize and manage countless books is to use this app where the app will have an account for each new book added, released or returned. You can get books instantly, borrow / return books quickly and manage all student data efficiently using this app and application. The purpose of the Android application for Library Management is to provide quick and accurate information about books and notes to the user and thus save a lot of time and effort.

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Rfid, Library, Books, Android Application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rise of technology has drastically changed the living standards of contemporary society. Seeing the increasing number of electronic devices being used in a house, an automatic home system has become an increasing useful feature. Current systems, however, have issues with complexness, high costs, non-open sources and multiple incompatible standards; leading to the restricted venture of the house automation into the homes of the wealthy or hobbyists. This project intends to create an open source, low-cost and easy to operate home automation system, which would be done by interfacing the open source Arduino creating a effortless and handy system to manage home appliances. The main objective of this paper is to regulate the fan speed and the light with the help of Wi-Fi module via Arduino. Now-a-days most of energy gets wasted due to the detachment of fans and lights whenever it is not in use. This happens because most of the switches are being placed far from the users, so as to avoid this scenario, we've introduced an affordable system using Wi-Fi which will facilitate users to regulate the fans and light within certain distance from them. The automation system can have ability to be controlled from an applications based on mobile.

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 Keywords

Arduino Software, WI-FI module, PCB.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electric lines may get damaged in severe climatic conditions. Due to scorching heat in summer if a small break done occurs, the whole line is going to shut done and it is hard to find out the approximate location. Linemen need to check every pole and line to find the fault and it get hold of a lot of effort and stress to fix the problem. With the support of the Internet of Things (IoT), we can modernize the traditional methods of searching every pole and line. The important goal of this paper is to prosper a device that has the capability of sending email directly to the substation, whether the power is available or not at that pole. Then linemen can directly visit a particular pole to search the fault line. This not only saves a lot of time but also it is possible to fix the problem quickly with the help of Node micro controller unit (NodeMCU) and If this then that (IFTTT) service.

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 Keywords

NodeMCU, IFTTT, IoT, Gmail, Webhooks, Arduino IDE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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E-Commerce site, Online Marketing, Digitalized

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Creative Commons Attribution 4.0 and The Open Definition

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The practice of community work in India precedes the imported social work education. However, as one of the methods of social work practice, the imported knowledge produced in the United Kingdom was implanted with the inception of the first school of social work. Today, community work has gained a broader canvas with specialisations on issue-based practice and from the enriching movement of the tribal, dalit, women, ecology and others. It has gained acceptance as a more conducive method of social work given the socio-cultural context. The paper presents the practice of community work in India where non-uniform practices in the pre-social work period is analysed. It also maps the changing trends and trajectory of approaches in India from genesis to today. Lastly, the paper will submit a perspective on the current debates and knowledge contestation and offer a critical insight on the direction and the need to indigenise the subject at hand.

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 Keywords

Community Organisation, Indigenisation, non-uniform practice, social work education

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Internet of Things(IoT), Characteristics, Architecture, IoT in Education, Challenges, Future impact.

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Nowadays, machines are so advance that they are taking place of humans. And machines are able to do such a great task in few minutes, all because of data with the help of that machine are getting trained. We have a huge amount of data everywhere. But not all the data are meaningful. We need to analysis the data and extract the meaningful data and used that data to build strong algorithm. We can achieve that with the help of data mining and machine learning. Nowadays machine learning is helping in every field with the great intelligence. Machine learning and deep learning is the integral part of Artificial intelligence, in this paper we will focus on some important part of machine learning and types of machine learning like supervised learning, unsupervised learning, reinforcement learning. We will also analyze from 1952(machine learning word first introduced by Frank Rosenblatt) to 2021 how much machine are advanced, and what they can do further in future

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Machine Learning, Deep Learning,

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 Abstract

this paper presents the Sugarcane Bagasse Ash (SCBA), Marble Waste, (MW) in construction products. The partial replacement of fly ash and M sand by bagasse ash and marble waste respectively give considerable cost reduction and equal strength-controlled mix. This paper gives a clear idea about the partial replacement of fly ash and M sand by of SCBA and marble waste respectively up to 10%. The study of partially replacing sugarcane bagasse ash useful in the construction industry such as concrete, cement mortar, bricks as well as for environmental protection.

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Sugarcane Bagasse Ash (SCBA), Marble Waste, (MW), Cement, Fly ash Brick, etc

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 Abstract

Nowadays, renewable energy sources are growing at a faster rate. Wind, nuclear, solar, thermal, and other energy sources already exist in large quantities. This system implemented a new system known as a sound absorption unit, which is used to absorb sound from human speech. This absorbed energy is retained in the battery and used as a source of energy in the future. This system also includes two additional devices, a peilter and a thermal unit, which absorb pressure and temperature input from humans. These devices are linked to a nodeMCU, which displays a live graph of the energy produced, such as sound, pressure, and temperature.

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Footstep piezo electic,sound absorbtion unit,energy,power supply, dc-dc booster,thermal device ,connecting wires.

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 Abstract

Image steganography is a way to provide hidden data to a host image to transfer it safely. There are many ways to do this. Choosing the right algorithm is a necessary step. This paper introduces a study of the famous steganography techniques and discusses their beauty, limitations, and comparative performance. The basics of steganography imagery, the features of steganography imagery are covered in paper. Image steganography techniques can be categorized according to different criteria. Separation is also included in this paper. Five main ways of photographs are reported in this paper. An in-depth analysis of each method, their relevance, and the reduction and comparison of strategies are performed in this paper. Various stainless-steel tracks are also covered. With access to confidential information to be sent, security provision is an unavoidable issue that will not be compromised. The most widely used algorithm in this field has a huge gap. This is the state of cracking of hidden messages in an image file. This is due to the simplicity of the algorithm that provided a place for easy cracking of messages. Therefore, the Security Extensibility algorithms are called the SRM steganography algorithm.

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 Keywords

digital image, information hiding, multimedia security, watermarking,stenography

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lantana camara is a notorious, noxious and invasive weed having 650 varieties in over 60 countries. It is established and expanding in many regions of the world. There are different species of fungal endophytes residing in lantana which are having numerous properties also. The main fungal endophytes isolated from lantana are Helminthosporium sp and Fusarium oxysporum, Alternaria alternata and Aspergillus nidulans. These fungal endophytes are capable to produce certain bioactive compounds such as 1-docosanol, 1-octadecanol, all-trans- anhydrorhodovibrin, perillol, phytol, n-hepta-decanol-1, n-hexadecanoic acid. These bioactive compounds are efficient in controlling pathogens .This review addresses the general view of lantana camara and various properties of fungal endophytes.

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Lantana camara Linn., fungal endophytes, bioactive compounds, stress conditions.

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The importance of knowing environmental conditions is undoubtedly these days.Knowledge of having environmental conditions will help us to know better about our surroundings. Due to global warming it has become harder to determine the type of weather around us. Thus frequent monitoring and prediction of the weather is difficult. Thus we need proper information about the weather. Thus the decision maker can take the appropriate decision of the weather. So the decision maker needs to develop a system that can monitor and predict the weather in real time conditions. The Internet of Things(IoT) is very helpful for predicting and monitoring this kind of situation. As it can work with real time data as well as the past data that was recorded earlier. This IoT sends data through Wireless Sensor Network(WSN) to the computational devices so that the result can be generated. Thus many have moved from physical parameter flood prediction to real time computational monitoring. The proposed system uses different atmospheric sensors such as humidity , temperature , pressure and rainfall. The recorded data is stored and passed to the device and thus the result is obtained.

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IoT, WSN, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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smoothie, Carrot, herb

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Fire alarm system, thermistor, operational amplifier

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Creative Commons Attribution 4.0 and The Open Definition

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This paper is about the history and current status of culinary tourism and its future scope and challenges. Through this paper the advent of culinary tourism and its growth in recent times has been explained. Culinary tourism is the art of indulging in different food items while exploring different locations. Tourism is a major sector in the world, both in terms of revenue generated and livelihood catered. And in turn food forms a significant source of that and it has a major impact in the tourism development of a destination. Due to this reason culinary tourism has slowly found its place in the enhancement of tourism of a particular region. Even in India, culinary tourism is vastly unexplored. There is a huge potential in the remote regions of the country when it comes to attract tourists solely on the basis of ethinc culinary experience. Every state has its own taste, dish, spices, garnish to boast about. If properly channeled, the potential benefit is immense. Culinary culture is an important factor to promote a destination. In line with these factors, this paper highlights culinary tourism and its future prospects.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Culinary, Tourism, Food, Delicacies, Cuisines, Culture

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Creative Commons Attribution 4.0 and The Open Definition