ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: SUSTAINABLE INTEGRATED WEED MANAGEMENT IN TRANSPLANTED RICE BASED CROPPING SYSTEMS IN INDIA: A REVIEW
Author Name(s): G.Shashank Reddy, Chunchu Suchith Kumar, Dr.Gurpreet Singh
Published Paper ID: - IJCRT2105038
Register Paper ID - 206658
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105038 and DOI :
Author Country : Indian Author, India, 518003 , Kurnool, 518003 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105038 Published Paper PDF: download.php?file=IJCRT2105038 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105038.pdf
Title: SUSTAINABLE INTEGRATED WEED MANAGEMENT IN TRANSPLANTED RICE BASED CROPPING SYSTEMS IN INDIA: A REVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a299-a306
Year: May 2021
Downloads: 1333
E-ISSN Number: 2320-2882
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
Integrated weed management, Cropping systems, Seed weed bank, Rice, Tillage
Paper Title: GREEN HOUSE MONITORING AND CONTROL SYSTEM USING BLUETOOTH COMMUNICATION.
Author Name(s): T.JANARDHAN REDDY, K.JEYA PRAKASH, G.KUMAR REDDY, R.NARENDRA
Published Paper ID: - IJCRT2105037
Register Paper ID - 206657
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105037 and DOI :
Author Country : Indian Author, India, 626128 , Madurai,virudhnagar, 626128 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105037 Published Paper PDF: download.php?file=IJCRT2105037 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105037.pdf
Title: GREEN HOUSE MONITORING AND CONTROL SYSTEM USING BLUETOOTH COMMUNICATION.
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a295-a298
Year: May 2021
Downloads: 1430
E-ISSN Number: 2320-2882
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
bluetooth module,turbidity sensor,DHT11 sensor.
Paper Title: STEGANOGRAPHY METHOD FOR EMBEDDING MESSAGE IN JPEG IMAGES
Author Name(s): DR.D.PRASANNA, PRIYANKA M, PRIYADHARSHINI S, VINITHA T
Published Paper ID: - IJCRT2105036
Register Paper ID - 206660
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105036 and DOI :
Author Country : Indian Author, India, 637503 , namakkal, 637503 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105036 Published Paper PDF: download.php?file=IJCRT2105036 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105036.pdf
Title: STEGANOGRAPHY METHOD FOR EMBEDDING MESSAGE IN JPEG IMAGES
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a284-a294
Year: May 2021
Downloads: 1331
E-ISSN Number: 2320-2882
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
DES block, JPEG Image & Testing
Paper Title: COVID-19 DETECTION USING DEEP LEARNING CNN ALGORITHM
Author Name(s): Shekhar Gaikwad, Yogita Shinde, Arti Vadavale, Nilam Padekar
Published Paper ID: - IJCRT2105035
Register Paper ID - 206651
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105035 and DOI :
Author Country : Indian Author, India, 412412 , Pune, 412412 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105035 Published Paper PDF: download.php?file=IJCRT2105035 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105035.pdf
Title: COVID-19 DETECTION USING DEEP LEARNING CNN ALGORITHM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a277-a283
Year: May 2021
Downloads: 1279
E-ISSN Number: 2320-2882
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
Deep Learning , artificial intelligence ,Machine Learning , Neural Network, Covid-19 , CNN
Paper Title: EXTENT OF PEDAGOGICAL PRACTICES OF BUSINESS STUDIES TEACHERS IN JUNIOR SECONDARY SCHOOLS IN ANAMBRA STATE
Author Name(s): Udemba, Nonyelum Felicia
Published Paper ID: - IJCRT2105034
Register Paper ID - 205961
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105034 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105034 Published Paper PDF: download.php?file=IJCRT2105034 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105034.pdf
Title: EXTENT OF PEDAGOGICAL PRACTICES OF BUSINESS STUDIES TEACHERS IN JUNIOR SECONDARY SCHOOLS IN ANAMBRA STATE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 5
Pages: a266-a276
Year: May 2021
Downloads: 1344
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Pedagogy, pedagogical practices and business studies teachers
Paper Title: LIBRID
Author Name(s): Abhishek Panchal, Rashid siddiqui, Ashish Vishwakarma
Published Paper ID: - IJCRT2105033
Register Paper ID - 206160
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105033 and DOI :
Author Country : Indian Author, India, 400093 , Mumbai, 400093 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105033 Published Paper PDF: download.php?file=IJCRT2105033 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105033.pdf
Title: LIBRID
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a263-a265
Year: May 2021
Downloads: 1308
E-ISSN Number: 2320-2882
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
Rfid, Library, Books, Android Application
Paper Title: SMART HOME AUTOMATION USING ARDUINO
Author Name(s): P. R. Rodge, Sanchita Patil, Sanjana Patil, Vinayak Sagar
Published Paper ID: - IJCRT2105032
Register Paper ID - 206601
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105032 and DOI :
Author Country : Indian Author, India, 421301 , Kalyan (W), 421301 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105032 Published Paper PDF: download.php?file=IJCRT2105032 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105032.pdf
Title: SMART HOME AUTOMATION USING ARDUINO
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a257-a262
Year: May 2021
Downloads: 1335
E-ISSN Number: 2320-2882
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
Arduino Software, WI-FI module, PCB.
Paper Title: DESIGN AND DEVELOPMENT OF A DEVICE TO DETECT BREAK DOWN IN ELECTRIC LINE
Author Name(s): Padmanabuni Satish, Chirumamilla Nikhil Chowdary, Markapuram Pradeep Kumar
Published Paper ID: - IJCRT2105031
Register Paper ID - 206522
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105031 and DOI :
Author Country : N, India, 521401 , Vijayawada, 521401 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105031 Published Paper PDF: download.php?file=IJCRT2105031 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105031.pdf
Title: DESIGN AND DEVELOPMENT OF A DEVICE TO DETECT BREAK DOWN IN ELECTRIC LINE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 5
Pages: a249-a256
Year: May 2021
Downloads: 1323
E-ISSN Number: 2320-2882
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
NodeMCU, IFTTT, IoT, Gmail, Webhooks, Arduino IDE
Paper Title: ONLINE BOOKS RESELLING WEBSITE PROJECT
Author Name(s): Vivek Kulla, Venkata Mahesh Mopidevi, Dintakurthi Kalki, Anna Jaya Krishna
Published Paper ID: - IJCRT2105030
Register Paper ID - 206584
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105030 and DOI :
Author Country : Indian Author, India, 506002 , Warangal, 506002 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105030 Published Paper PDF: download.php?file=IJCRT2105030 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105030.pdf
Title: ONLINE BOOKS RESELLING WEBSITE PROJECT
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a233-a248
Year: May 2021
Downloads: 1394
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
E-Commerce site, Online Marketing, Digitalized
Paper Title: COMMUNITY PRACTICE IN INDIA: TRENDS AND WAY FOWARD
Author Name(s): Juster Lyngdoh
Published Paper ID: - IJCRT2105029
Register Paper ID - 206527
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105029 and DOI :
Author Country : Indian Author, India, 110009 , Delhi, 110009 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105029 Published Paper PDF: download.php?file=IJCRT2105029 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105029.pdf
Title: COMMUNITY PRACTICE IN INDIA: TRENDS AND WAY FOWARD
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a218-a232
Year: May 2021
Downloads: 1362
E-ISSN Number: 2320-2882
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
Community Organisation, Indigenisation, non-uniform practice, social work education