Volume 10 | Issue 6 |

 Abstract

The application of fertilizers in the second tertile of the irrigation period resulted into significantly maximum availability of phosphorus during both the years and pooled mean. While application of fertilizer in the third tertile of the irrigation period found second in order in respect of availability of phosphorus during both the years and pooled mean.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tomato, Fertigation, Phosphorus availability, Drip irrigation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Associated with literature, music, and movies, computer software is a relatively new form of intellectual property. Computer software is such a diverse phenomenon that any attempts to arrive at conclusions claiming general validity are bound to fail. IPR And International scenarios do not prevent additional forms of protection for computer programs and a member can offer patent, copyright, and trade secret protection for computer programs. The object of copyright protection in a computer program is not the underlying idea but the computer language used to express the idea. Copyright is the most commonly used to protect computer programs because the writing of a software code is similar to a literary work. Under copyright laws, protection is available only to the form and expression of the idea and not to the idea itself. The indication is that software law awaits new social consensuses and requires new legal approaches; and all this ultimately rests upon legislative action or treaty negotiation, whose doctrinal development is a slow process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IPR, Copyright, International Law, Protection, Software

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Only humans can act on behalf of a company, and anyone who does so is solely responsible for any crimes they conduct. The importance of incorporation is that it holds people and businesses accountable in particular situations. As per Section 11 of the Indian Penal Code, 1860, a person is defined as "Any Company, Association, or a collection of Persons, whether incorporated or not," according to the statute. According to this Code, everyone is liable for penalty. As a result, everyone is penalized by Section 2 of the Code, which obviously includes businesses. Thus, reading these two clauses can give rise to the idea of corporate criminal liability, but they are not the only pieces of legislation that deal with punishing corporate entities (Companies Act, 2013, Income Tax Act, etc.). Due to their expansion, businesses have grown to play a crucial role in our economy and have become an essential element of our society. Therefore, these businesses should be opposed since they put our society at risk of being used by them. This article will look at many sorts of corporate criminal responsibility and the philosophy surrounding it as a white collar crime.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Corporation, Corporate criminal liability, Companies Act 2013, White collar crime

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture plays an important role in our day to day life and sustains the existence of life in this planet. Application of Artificial Intelligence (AI) in this sector is clearly visible and is ever growing than before. Soil management, Crop management, Weeds management, Water management, Weather predictions are the crucial areas identified in Agriculture, to act on. Any impacts or distractions in these areas can pay way to disruptions economy growth. Expectations from industries and farmers are to provide a solution at less cost and effectively performing at scale. Robotics have been tested a lot in this field and have seen an improvement over the years. Automations are significant in Agriculture, so as to reduce the complexity and tedious human labour. Maximising the yield with high quality and lesser chemical influence, have been the hopes from consumer perspective. Such an application of AI in Agriculture, will prevent lives from natural disasters, can alert or warn about the calamities and take the safest route.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Agriculture, ML, Automation, Sensors.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture plays a major role in the economic sector. Being the backbone of major nations like India, Agriculture do face lot more challenges than any other domain. Automation in agriculture is a major concern and a topic that is emerging around the world. The population is growing and with this increase in demand for food and work is increasing. The traditional methods used by farmers were not sufficient to meet these needs. Therefore, new automated methods are introduced. These new methods have met the needs of the diet and provided jobs for billions of people. Artificial Intelligence in agriculture has brought about change in agriculture. These technologies have protected crop yields from a variety of factors such as natural disaster, climate change, population growth, employment issues and food safety issues. Of particular concern to this paper is the research into various applications of Artificial intelligence in agriculture such as irrigation, sensory spraying and other methods installed on robots and drones. This technology saves excess water consumption, pesticides, maintains soil fertility, and aids in the efficient use of human energy and increases productivity and improves quality. This paper examines the work of many researchers to get a brief overview of the current use of automated agriculture. Smart decisioning and language understanding are the key techniques that facilitates Agriculture easing out manual labour with pre-programmed machine learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI, Cloud, Agriculture, Azure, Data, Prediction, Algorithms, Testing, AI Services, Indexes, Analytics, Sensors.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Digital economy refers to an economy that supports digital computing technologies, though we have a tendency to progressively understand this as conducting business through markets supported by the web and also the World Wide net. The objective of the research is To analyse the significance difference between digital tax results in double taxation and age of the respondents. To determine significance difference between digital taxes are not discriminatory in India and gender of the respondents. To examine the significance difference between India has expanded the scope of the equalisation levy over the last few years, to tax non resident digital entities among occupations of the respondents. Descriptive Research is used for the purpose of the study. The methodology used by the researcher is a convenience sampling method to collect samples. The sources used are primary sources such as questionnaires , surveys and secondary sources such as books and journals. The total sample size collected through questions is 200. The independent variable used such as age, gender, marital status and education qualification. The dependent variable used is digital tax results in double taxation and digital tax is not discriminatory in India. The statistics tools used by the researcher are chi square tests and frequency table , Independent sample test and Anova test. The research concluded that on the far side of the international tax rules, alternative components of the trendy legal system square measure formed by the transformative effects of digitalization, bring opportunities and challenges. From the planning of the legal system through to tax administration, relevant developments embrace the increase of business models.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Taxation, computation, Digitalisation, Double taxation, levy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The present-day challenge for moving forward plant development and decreasing costs legitimizes the advancement of a robotized water system framework that will minimize the squander of water and diminish work and observing overhead. Feedback-based approaches empower more effective dealing with of assets than open-loop frameworks, at the cost of complexity and solidness issues. Soil moistures are troublesome to degree, and their target levels cannot be kept up exceptionally successfully.A nursery gives an environment to develop plants all year circular, indeed on cold and cloudy days. Be that as it may, extraordinary natural variables interior the nursery such as tall temperatures and a tall mugginess can contrarily affect the plants. Subsequently, controlling this environment is fundamental in arrange for the plants to develop solid and healthy.The point of this extend was to plan and construct a nursery controller that can keep up the environment, by acting upon live sensor readings and be able to show the status of the system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords - Smart Controller, Agriculture, Environment, Node MCU, Arduino Nano

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Creative Commons Attribution 4.0 and The Open Definition

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The major problem that the farmers around the world face is loss due to pests, diseases or a nutrient deficiency. Usually, farmers or experts perform visual inspection for identification of disease. But this method is often time consuming and inaccurate. This paper may be an approach in detecting plant diseases using the deep Convolutional Neural Network. CNN is tutored in detecting plant leaf diseases accurately and within no time. The proposed system uses the MobileNet model,VGG16, a type of CNN for classification of leaf disease. Several experiments are performed on the dataset to get the precise output. This system ensures to give more accurate outcomes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Deep learning, Convolution neural network, VGG16 model.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mutual fund intuitions play vital role in economic development of country. A well established mutual fund market is the key factor for economic growth in many developed countries. India opens the market for different investment to provide variety of financial products. Systematic investment planning Was introduced in the Indian financial system with view to provide comparatively safer investment at the doorstep of the common investors. Most of people wants to invest in mutual funds. But there is large variety of schemes available in the market. At this situation investor prefers mostly Bluechip fund as it is less risker than other funds. So in this manuscript main focus is on the analysis of performance of Bluechip fund so it will help to investors to take decision about which scheme supposed to choose. So for the study purpose 4 Bluechip funds has been selected. For investor there is no need to pay attention towards the past performance of the mutual fund performance. So for the purpose the secondary data has been considered for the performance analysis and it was achieved by using various tools and technique.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blue chip fund, Performance, Evaluation, Return.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Built-in self-test (BIST ) approaches are suitable for in-field testing since they do not require a tester for storage and application of test data. They also reduce the security vulnerabilities associated with loading and unloading of external test data into scan chains. As technologies evolve, in-field testing needs to address more complex defect and fading mechanisms that require specific deterministic tests. This can be addressed by BIST approaches that store test data on-chip, and use the data for on-chip generation of both random and deterministic tests. In this case, there is a tradeoff between the amount of stored test data and the comprehensiveness of the test set that can be applied. This explores this tradeoff in a specific context that has the following main features. The initial stored test data is based on a stuck-at test set. The target faults are single-cycle gate-exhaustive faults. The stored test data is enhanced gradually by test data based on a gate-exhaustive test set to increase the coverage of gate-exhaustive faults.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Built-in-self test, Data on-chip, Single cycle faults, Gate exhaustive test set

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Creative Commons Attribution 4.0 and The Open Definition