Volume 9 | Issue 5 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Biotechnology - Biotech and Agrisector - Role of Biotechnology - Area, Production and yield of Plants- Kharif Production .

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Creative Commons Attribution 4.0 and The Open Definition

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Production of waste materials from agriculture in India is increasing day by day. Agricultural wastes are biologically decomposed in the open. Agricultural waste materials can help increase the strength of concrete. The world is now focusing on alternative material sources that cause less harm to the environment. Tons of banana waste are discarded in India, which emit large amounts of methane gas and carbon dioxide, which are harmful to the body when inside and also cause global warming. Banana Leaves Ash is an agricultural product. It has the ability to replace a building material that is cement. Also, many researches has been carried out to use different types of waste in concrete to produce a much economical and sustainable product. The ashes of banana leaves have a pozzolanic reaction that sometimes occurs in cement. After growing a banana tree for consumption of fruits only and discarding the trunks, the use of banana leaves should be explored after the fruits have been harvested. Banana leaf is easily available, it is inexpensive and environmentally friendly. Banana leaf ashes were produced by the process of burning dried banana leaves and collecting its residues. Banana leaf ashes have a lower specific gravity value than normal cement. This makes the resulting concrete lighter with greater proportions of cement. Replacement of cement with banana leaf ash will be beneficial for low-income areas, which will benefit because of its high availability and ease of source and processes that will not be able to keep up with itself. Difficulties are occurring with decreasing average loads on structures that make up the cost and other parameters such as foundation work to reduce cement.

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Creative Commons Attribution 4.0 and The Open Definition

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Banana leave ash, Concrete Compressive strength, Cement replacement

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Creative Commons Attribution 4.0 and The Open Definition

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The most fundamental input of the construction sector is concrete, which would be a massively complicated element. Concrete is among the most common structural construction materials due to its strength. Since some manufacturers manufacture out of reach and low quality, there is a growing demand for earthquake-resistant design in the fully prepared concrete industry. Concrete's strength-gaining properties are influenced by a variety of factors. This research aims to use the results of early compressive strength tests to predict strength properties at various ages. The ability to estimate the determination and strength of normal concrete using the early day strength properties result has been examined. Including both concrete and regional concrete mixes, a basic numerical equation forecast the concrete strength at any age is proposed. The goal of this article is to show how artificial neural networks (ANN) and machine learning can be used to forecast the compressive strength of high-performance concrete. On the other side, we'll evaluate the errors of all of the techniques we're using. The dataset used was obtained from the UCI Machine Learning repository. As a result of the research, it was discovered that the Random Forest Algorithm and Artificial Intelligent gives the best performance when all input parameters were used, including cement, slag, fly ash, water, superplasticizer, coarse aggregate, fine aggregate, and age.

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Creative Commons Attribution 4.0 and The Open Definition

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Concrete, Strength, Artificial Intelligent, Machine Learning, Performance, Features.

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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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Green marketing , consumer perception ,consumers study

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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

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Virtual platform, scraped questions, OCR, Quiz generation, API, Fetching question

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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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Bhartrhari Kalashakti Vakyapadiya Shabda Brahma

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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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Creative Commons Attribution 4.0 and The Open Definition

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The overall usable amount of water on Earth is fixed and finite due to the continuing process of evaporation and precipitation across the hydrological cycle. Just 0.01% of this gross amount is used as surface water in lakes and rivers. A significant amount of surface water is used in agriculture, and therefore good water usage will save more water on Earth. The aim of this research is to increase crop production by computing crop water and irrigation water demand, as well as developing an irrigation schedule in the Thordi village, which is located in Gujarat's semi-arid zone. The crops under consideration are groundnut, chickpea, wheat, sorghum, and millet, which are primarily grown in the Thordi village. The Cropwat, Penman-Monteith method developed by FAO is used to achieve the goal of this analysis. Irrigation scheduling is developed by integrating the timing option of irrigating at critical depletion with the operation option of refilling soil to field capability. This irrigation scheduling option results in the least amount of yield loss. ET0 has a cumulative value of 2054.95 mm/year. The analysis is carried out for five crops, with the maximum CWR and IR for winter wheat crop being 538.7 mm/dec and 522.6 mm/dec, respectively, and the minimum for sorghum being 348.1 mm/dec and 30.2 mm/dec. This research would undoubtedly improve crop production and save more water in the Bhavnagar district's Thordi village.

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Creative Commons Attribution 4.0 and The Open Definition

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Evapotranspiration, FAO-Cropwat, Plant water requirement, Irrigation scheduling, Chickpea, Groundnut, Wheat, Sorghum, Millet

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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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ICT, Attitude, ICT attitude, Prospective Teachers.

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Creative Commons Attribution 4.0 and The Open Definition

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In this world filled with data and that is increasing everyday people becomes lazy to read all data so for them we decided to generate a summary from that data which is news articles, large document files, reviews, big paragraphs. This problem we will solve using NLP (Natural Language Processing) and generates a meaningful abstractive summary. For generation of this abstractive summary we had used transformer model which focuses on multi-head mechanism. Also there is a seq2seq model having an encoder and a decoder.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstractive Summarization using Attention Mechanism

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Creative Commons Attribution 4.0 and The Open Definition