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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

bluetooth module,turbidity sensor,DHT11 sensor.

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 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

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pedagogy, pedagogical practices and business studies teachers

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Commerce site, Online Marketing, Digitalized

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition