Volume 10 | Issue 5 |

 Abstract

India is land of farmers. A major role in India's economy is played by farming. As much as 60% of the land is used for farming in India. This feeds a total of 1.2 billion in population. In general, agriculture is the backbone of India and conjointly plays a crucial role in the Indian economy by providing a definite share of domestic products to ensure food security. However, nowadays, food production and prediction are depleted because of unnatural climatic changes, which is able to adversely affect the economy of farmers by obtaining a poor yield and conjointly facilitate the farmers to stay less acquainted in prognostication in the long run. Using appropriate parameters like rain patterns, temperature patterns, soil structures, and other factors such as crop diseases makes it possible to yield accurate crop prediction results. We make use of Random Forest and other machine learning/artificial intelligence algorithms to generate an accurate model. With the help of our system, we will be able to recommend the best possible crop for the given conditions. This system would also help reduce the financial loss incurred by farmers caused by planting the incorrect crop.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crop recommendation system, machine learning, crop prediction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Open Education Resources (OER) are teaching, learning materials in any medium that reside in the public domain under an open license. The main purpose of this present study is to reveal the concept of OER and how various OERs facilitate open education. In this study, we analyze various OERs initiatives that promote open education. This paper focuses on significant development in the area of open education, the role of OER as a promoter of open education. The OER has empowered students, teachers, researchers to become more innovative in their teaching-learning through openness and flexibility. Various OER initiatives are greatly supported to open education and these are accessed remotely by the learners. This paper gives a detailed account of various OER initiatives which will be helpful to learners at different levels to acquit their diversified needs of information.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Open Educational Resources, Open Education, Openness, E-learning, Teaching-Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

At the start and ending of the category , usually teacher check the attendance , but the manual attendance system may results in appear that an educator may miss someone or some students may answer multiple times. Now a days, Machine we use algorithms, to supply the pc systems the power of finding and recognizing human faces fast and precisely in images or videos in order that the systems can utilized in giving attendance. A great burden on the teachers if it's done by hand. By utilizing this framework, the matter of proxies and students being marked present albeit they're not physically present can easily be solved. This system marks the attendance using live video stream. The main implementation steps utilized in this sort of system are for which dlib is used. After these, the connection of recognized faces need to be conceivable by comparing with the database containing student's faces. This model are going to be a successful technique to manage the attendance of students.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, Face recognition, Assessment, Face detection algorithm, LBPH, HAAR

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Creative Commons Attribution 4.0 and The Open Definition

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In the field of two-dimensional image and video processing, convolution neural networks have been successfully applied to generate novel images by composing content and style of two different sources, a process called artistic or neural style transfer. However, a usage of these methods for three-dimensional objects is not straightforward due to the unstructured mesh representations of typical shape data. Hence efficient geometry representations are required to use neural network-based style transfer concepts for three-dimensional shapes and to enable the fast creation of style options for instance in a product ideation process. In this paper an overview of current state-of-the-art shape representations is presented with respect to their applicability of neural style transfer on three-dimensional shape data. Combinations of three-dimensional geometric representations with deep neural network architectures are evaluated towards their capability to store and reproduce content and style information based on previously proposed reconstruction tests.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neural Style, Deep Learning, CNN, Streamlit.

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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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Creative Commons Attribution 4.0 and The Open Definition

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The main aim of this paper is analyze and study of road traffic accident data. In this paper traffic volume survey and spot speed survey are carried out. The road traffic accident analyzed according to types of injuries, drivers age group , gender wise distribution, months , day and night time, location wise and types of vehicles.The road accident data analysed in varies types of injuries like fatal , minore , not injured and serious. In fatal accident 2 wheelers are more involved than others.Accident data analyzed as per month, the most of accidents have been occurred in the month of January and June.Minimum or zero number of accident observed in the monsoon month in may and august.Also, accident data analyzed according time in this paper the maximum accident occurred in day time and less and minimum accident are reported in night time. Further, accident data analyzed according to location wise the number of more accidents have been happened at kankot patiyu and kataria chokdi so observed it as black spot location. As per analyzed the accident data the age group 18 to 30 are more involved than others age group and gender wise distribution the males faces are more involved than female faces.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Road traffic accident , analysis , traffic volume study , spot speed study .

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Creative Commons Attribution 4.0 and The Open Definition

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The knowledge of pregnant women regarding antenatal care and their compliance to itis of paramount importance in preventing maternal and infant mortality rate and morbidity. The main objective of the present study was to assess the knowledge and attitude of antenatal women regarding antenatal diet Methods :Quantitative research approach was used in this study and descriptive research design was employed for assessing the knowledge and attitude. Data collection: Samples were selected by using convenient sampling technique and sample size for the current study was 100 antenatal women. Data was collected with the help of structured knowledge questionnaire and rating scales. Collected data was analyzed by means of descriptive and inferential statistics. Result: The study results revealed that 30 paticipants had adequate knowledge related to antenatal care whereas 20 participants had moderate knowledge and 50 samples had inadequate knowledge related to antenatal care. Chi- square test results revealed that there was no significant association between knowledge and selected demographic variables of antenatal mothers. Interpretation and Conclusion: The study findings revealed that pregnant women had inadequate knowledge regarding antenatal care.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Assess Knowledge, Attitude, Antenatal Diet and Antenatal Women.

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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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FGM coated cylinder, compression test, power-law index, critical buckling load

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Creative Commons Attribution 4.0 and The Open Definition

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Khadi fabric, commonly known as khaddar, is really a cotton-based natural fibre which is manually woven. The non-violent Indian people were used Khadi, hand spun or hand woven Indian cotton cloth, for the weapon against the colonial rulers. Khadi fabric created manually from Indian communities with cotton yarn spun on a wheel called "charkha". khadi is a unique craft that is strongly connected to the India's history. As significant in sustainable fashion, Khadi is really a type of eco-friendly clothing. The need for Khadi is increasing significantly. All the natural dyes can't be used as colour for every fabric. The best is to utilise the natural dye in natural material like cotton, linen, silk, wool for best result. Natural dyeing & colouring is not just a healthier for the wearer and the environment, but it is more environmentally friendly over the chemical solutions. Khadi is facing problems due to lack of knowledge among people and businesses. GST's effect on khadi have raised the cost and reduced the sales and have increased cotton farmers' difficulty. This has led to research and innovation projects to enrich the sustainable product development using khadi. Khadi fabric maybe in off white color or the fabric will be bleached. In the present project effort is made to develop sustainable khadi fashion using Natural Dye from Nutmeg Fruit and Indian Purple Yam. The main aim of the project is to develop a sustainable fabric and development of shade card with natural dye on Khadi Fabric. Sustainable fashion is now a new trend in the fashion business which seeks to reduce waste to the environment by textile industry. Today people are more aware about sustainable product and as per the survey report, people are preferring for sustainable product with comfort. In the present study, Khadi fabric is dyed with dye extracted from Nutmeg fruit and Indian purple yam. The mordant used are alum and myrobalan. The shade card was prepared with different concentration of dye. The dyed samples were tested for color fastness test. Nutmeg dyed fabric with alum mordant gave better result in both dry and wet rubbing fastness and wash fastness rating of 4.5.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainable fashion, Natural dye, Nutmeg dye, Indian purple yam dye, Khadi fabric, Shade card.

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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

Artificial Intelligence, Challenges, Human Resource Management, Implementation, Scope,Human resource planning,AI software

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Creative Commons Attribution 4.0 and The Open Definition