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: ``JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN``
Author Name(s): Dr. Akhilesh Tiwari, Akhilesh kumar Gautam
Published Paper ID: - IJCRT2106807
Register Paper ID - 209279
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106807 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106807 Published Paper PDF: download.php?file=IJCRT2106807 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106807.pdf
Title: ``JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN``
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 6
Pages: g705-g712
Year: June 2021
Downloads: 1195
E-ISSN Number: 2320-2882
"JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN"
Licence: creative commons attribution 4.0
"JANPAD AZAMGARH MEN PHASAL BHUMI UPYOG EVAM JANSANKHYA KRIYASHILATA KA PRATIRUP TATHA GRAMIN VIKAS HETU SAMAJIK, ARTHIK PAKSHON KA BHAUGOLIC ADHAYAYAN"
Paper Title: ``GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH`` (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN
Author Name(s): Dr. Sanjay Kumar Singh, Sandeep Kumar
Published Paper ID: - IJCRT2106806
Register Paper ID - 209277
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106806 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106806 Published Paper PDF: download.php?file=IJCRT2106806 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106806.pdf
Title: ``GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH`` (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 6
Pages: g701-g704
Year: June 2021
Downloads: 1106
E-ISSN Number: 2320-2882
"GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH" (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN
Licence: creative commons attribution 4.0
"GRAMIN SWASTHYA KE VIKAS MEN SAMAJIK V SANSKRITIC AVARODH" (JAUNPUR JANPAD KE VIKAS KHAND DHARMAPUR KE VISHESH SANDARBH MEN
Paper Title: ``BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)``
Author Name(s): Dr. Sanjay Kumar Singh, Sunil Kumar Yadav
Published Paper ID: - IJCRT2106805
Register Paper ID - 209275
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106805 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106805 Published Paper PDF: download.php?file=IJCRT2106805 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106805.pdf
Title: ``BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)``
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 6
Pages: g696-g700
Year: June 2021
Downloads: 1650
E-ISSN Number: 2320-2882
"BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)"
Licence: creative commons attribution 4.0
"BEROJGARI KE PRATI GRAMIN SHIKSHIT BEROJGARON KE VICHAR(JAUNPUR JANPAD MEN BAKSHA VIKAS KHAND PER ADHARIT EK SAMAJSHASTRIYA ADHYAYAN)"
Paper Title: DEEP LEARNING MODEL FOR FACE MASK DETECTION ALERT SYSTEM AND AGE PREDICTION
Author Name(s): Aditya Sawant, Siddharth Tayde, Barun Singh, Nikhil Masand, Dr. Mrs. Gresha Bhatia
Published Paper ID: - IJCRT2106804
Register Paper ID - 209395
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106804 and DOI :
Author Country : Indian Author, India, 400037 , Mumbai, 400037 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106804 Published Paper PDF: download.php?file=IJCRT2106804 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106804.pdf
Title: DEEP LEARNING MODEL FOR FACE MASK DETECTION ALERT SYSTEM AND AGE PREDICTION
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g690-g695
Year: June 2021
Downloads: 1123
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Face Mask Detection, Convolutional Neural Network(CNN), Datasets, Object Detection
Paper Title: SOYBEAN TREATED PLOTS RESIDUAL EFFECT ON GROWTH AND YIELD PERFORMANCE OF MAIZE CROP IN SUDAN AND GUINEA SAVANNA ZONES IN NORTHERN NIGERIA
Author Name(s): Nasiru Ahmad Abdulkadir, Nana Ewusi Mensah, Andrew Opoku, Ado Yusuf, Vincent Logah
Published Paper ID: - IJCRT2106803
Register Paper ID - 209226
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106803 and DOI :
Author Country : Foreign Author, Nigeria, 234 , Wudil , 234 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106803 Published Paper PDF: download.php?file=IJCRT2106803 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106803.pdf
Title: SOYBEAN TREATED PLOTS RESIDUAL EFFECT ON GROWTH AND YIELD PERFORMANCE OF MAIZE CROP IN SUDAN AND GUINEA SAVANNA ZONES IN NORTHERN NIGERIA
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Foreign Author
Pubished in Volume: 9
Issue: 6
Pages: g679-g689
Year: June 2021
Downloads: 1081
E-ISSN Number: 2320-2882
An experiment was conducted in 2016 cropping season to evaluate residual effect of legumes experimental treatments on maize crop yield at the fields that were used for soybean the previous year at the two agroecological zones (Sudan savanna and Guinea savanna). After clearing and land preparations, experimental plots were demarcated. Plots size was 4 by 4.5m. There were seven treatments replicated four times, each for soybean and groundnut. Maize grain yield showed no significant difference between treatments in terms of maize yield). Result from Sudan savanna soybean field revealed no significant difference between treatments in terms of maize yield (P = 0.123). As for harvest index, there is significant difference (P =0.023) between treatments. On contrast result obtained from Guinea savanna soybean field showed that significant difference exists between treatments. nitrogen treatment recorded highest yield (2175 kg ha-1). Result for major nutrients uptake in maize shoot showed no any significant difference between all the treatments observed in soybean fields at both Sudan savanna and Guinea savanna. From the finding of this study it can be concluded that. Result indicated that residual effect of leguminous crop treatments influenced yield performance of maize in Guinea savanna but no significant difference was observed in Sudan savanna.
Licence: creative commons attribution 4.0
: Inoculants, soybean, maize crop, residual, cattle manure, legfume fix, alosca, sudan savanna, guinea savanna and nutrient uptake
Paper Title: BIG MART SALES PREDICTION USING MACHINE LEARNING
Author Name(s): Rohit Sav, Pratiksha Shinde, Saurabh Gaikwad
Published Paper ID: - IJCRT2106802
Register Paper ID - 209080
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106802 and DOI :
Author Country : Indian Author, India, 411014 , pune, 411014 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106802 Published Paper PDF: download.php?file=IJCRT2106802 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106802.pdf
Title: BIG MART SALES PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g674-g678
Year: June 2021
Downloads: 1604
E-ISSN Number: 2320-2882
Nowadays shopping malls and Big Marts keep the track of their sales data of each and every individual item for predicting future demand of the customer and update the inventory management as well. These data stores basically contain a large number of customer data and individual item attributes in a data warehouse. Further, anomalies and frequent patterns are detected by mining the data store from the data warehouse. The resultant data can be used for predicting future sales volume with the help of different machine learning techniques for the retailers like Big Mart. In this paper, we propose a predictive model using XG boost Regressor technique for predicting the sales of a company like Big Mart and found that the model produces better performance as compared to existing models.
Licence: creative commons attribution 4.0
XG Boost Regressor, Machine Learning, Data Set, Data Exploring, Data Cleaning, Feature Engineering, Building Model.
Paper Title: POST DECISIONAL HEARING OF ADMINISTRATIVE ACTIONS
Author Name(s): Saubhagya Bhadkaria
Published Paper ID: - IJCRT2106801
Register Paper ID - 209386
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106801 and DOI :
Author Country : Indian Author, India, 462044 , Bhopal, 462044 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106801 Published Paper PDF: download.php?file=IJCRT2106801 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106801.pdf
Title: POST DECISIONAL HEARING OF ADMINISTRATIVE ACTIONS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g665-g673
Year: June 2021
Downloads: 1165
E-ISSN Number: 2320-2882
The discharge of administrative discretionary powers needs for hearings, even before the administrative authorities. While hearing, the authorities are required to observe principles of natural justice in addition to the legislative mandates. Right to be heard forms a part of the package of principle of natural justice yet jeopardized in exceptional situations, which calls for the post-decisional hearing as a savior not to defunct the overall proceedings. The problem arises once the decision is taken and if the person at stake had already suffered due to the same. The courts had tried to strike a balance in this situation to cure the urgency of the decision-making right of the aggrieved to be heard before any detriment is caused to his interest.
Licence: creative commons attribution 4.0
Post decision hearing, administrative discretion, natural justice
Paper Title: BIG DATA ANALYTICS ARCHITECTURE FOR SMART CITIES AND SMART COMPANIES
Author Name(s): Shanet Sabu, Minla K.S
Published Paper ID: - IJCRT2106799
Register Paper ID - 209398
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106799 and DOI :
Author Country : Indian Author, India, 680683 , Thrissur, 680683 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106799 Published Paper PDF: download.php?file=IJCRT2106799 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106799.pdf
Title: BIG DATA ANALYTICS ARCHITECTURE FOR SMART CITIES AND SMART COMPANIES
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Other area not in list
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g636-g643
Year: June 2021
Downloads: 1124
E-ISSN Number: 2320-2882
Today mobile internet, social media and internet of things have a broader application predominance, that paved the way for the age of big data. Digitization has won prominent parts of people's way of life. Both people and government are more inquisitive about Smart City trends or Smart Companies to attain greater sustainability and better norm of living. This research is an endeavor to discuss those big data applications are highly beneficial for implementation of smart cities as they impart ample opportunities but even have multihued challenges and problems. Smart cities are well known for the human dynamics within which we are connected by devices called the Internet of Things. Big Data Analytics aids in decision making from both Smart City intelligence or smart business domain. This research article is about framework of big in smart cities or smart companies with a composite of urbanization and Computerization and furthermore discusses the requirements, challenges of how big data analysis is utilized for decision making.
Licence: creative commons attribution 4.0
Big Data, Internet of Things, Smart City, Smart Company, Data Analytics, Emerging Technologies, Decision Making
Paper Title: REVIEW ON AGRICULTURAL PLANT LEAF DISEASE DETECTION USING DIP
Author Name(s): Mr.Praful B. Shapamohan, Prof. (Dr.) Nilesh N. Kasat
Published Paper ID: - IJCRT2106798
Register Paper ID - 209422
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106798 and DOI :
Author Country : Indian Author, India, 444903 , amravati, 444903 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106798 Published Paper PDF: download.php?file=IJCRT2106798 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106798.pdf
Title: REVIEW ON AGRICULTURAL PLANT LEAF DISEASE DETECTION USING DIP
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g630-g635
Year: June 2021
Downloads: 1091
E-ISSN Number: 2320-2882
Leaf spots can be indicative of crop diseases, where leaf batches (spots) are usually examined and subjected to expert opinion. In our proposed system, we are going to develop an integrated image processing system to help automated inspection of these leaf batches and helps identify the disease type. Conventional Expert systems mainly those which used to diagnose the disease in agriculture domain depends only on textual input. Usually abnormalities for a given crop are manifested as symptoms on various plant parts. To enable an expert system to produce correct results, end user must be capable of mapping what they see in a form of abnormal symptoms to answer to questions asked by that expert system. This mapping may be inconsistent if a full understanding of the abnormalities does not exist. The proposed system consists of four stages; the first is the enhancement, which includes HIS transformation, histogram analysis, and intensity adjustment. The second stage is segmentation, which includes adaptation of fuzzy c-means algorithm. Feature extraction is the third stage, which deals with three features, namely color size and shape of spot. The fourth stage is classification, which comprises Leaf disease.
Licence: creative commons attribution 4.0
Classifier, Feature extraction, Image processing, Leaf disease
Paper Title: A RESEARCH PAPER ON IMPACT OF LARGE DAMS ON ENVIRONMENT IN INDIA
Author Name(s): Dr. Sarjerao P. Ahirrao
Published Paper ID: - IJCRT2106797
Register Paper ID - 209154
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106797 and DOI :
Author Country : Indian Author, India, 424002 , deopur, Dhule, 424002 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106797 Published Paper PDF: download.php?file=IJCRT2106797 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106797.pdf
Title: A RESEARCH PAPER ON IMPACT OF LARGE DAMS ON ENVIRONMENT IN INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: g627-g629
Year: June 2021
Downloads: 1236
E-ISSN Number: 2320-2882
Water is very important and key elements of human life for drinking purposes as well as related to human daily need. Increasing demand of water caused the emerging science of dam engineering and also construction large dams for Irrigation purposes, drinking, industrial, flood control, power generation, recreational, fishery and tourisms etc. In India inland water bodies combined together, stretch over 45,000 km across the country, making India one of the richest fish germ-plasm in the world. However, the reallocation of water through dams has severely affected the ecosystem of these rivers, as the downstream flows are restricted and mangroves vanish. Large dams can remarkably effect on the environment as a non- stabilizing factor in nature in various stages of construction, operation and end of life by stopping the flow of the river and stored water on its up-steam site. However, if the environment cannot tolerate this instability, the results of the destruction of this structure will gradually rise and the objective of dam construction will be lost. In this paper, we will review the environmental impact of construction large dams on some rivers across the country and we will separately examine the use of several large dams as an important and effective option.
Licence: creative commons attribution 4.0
Large Dams, River, Environment