| Description |
1 online resource (204 pages) |
| Physical Medium |
polychrome |
| Description |
text file |
| Note |
Description based upon print version of record. |
| Contents |
Intro -- FM -- Half Title -- Title page -- Copy Right -- Acknowledgments -- Contents -- About the Editors -- Foreword -- Editorial Advisory Board -- Preface -- 5 Vs of Big Data -- Why is Big Data Important? -- Application of Big Data and Business Analytics -- Big Data and Business Analytics for Decision-Making -- Objectives -- Target Audience -- Organization of the Book -- References -- Chapter 1: Data Analytics for Soil Health Management and Their Crop Mapping -- Background -- Introduction -- Literature Review -- Importance of Soil Parameters for Crop Yield -- Soil Chemical Properties |
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Soil Fertility Parameters -- Soil Physical Properties -- Research Objective and Scope -- Research Methodology -- Result and Discussion -- Comparative Study of Soil Properties for the Years 2015-2016 and 2018-2019 -- OC. Fig. 1 shows that the OC has improved in 2018-2019 over 2015-2016. The OC was very low in 2015-2016, which has improved over the last three years. |
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Nitrogen. Fig. 2 shows that the nitrogen content has also improved significantly in the current year as compared with the past. However, the soil is still not self-sufficient in nitrogen content. Nitrogen status of soil has been improved significantly. -- Phosphorous. Fig. 3 shows that the soil has significantly become rich in phosphorous as compared with the past years. -- Potassium. Fig. 4 depicts that the potassium level has also increased significantly in the soil. |
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Sulfur. Fig. 5 shows that the soil is deficient in sulfur content and not much improvement has been seen by the soil in the past three years. It has been observed that the sulfur content of the soil has deteriorated compared to the past three years. Sulfu -- Zinc. Fig. 6 shows that the soil is not self-sufficient in the presence of zinc. Zinc is involved in fruit, seed, and root development. Zinc availability to crops declines with an increase in the pH of the soil, low soil temperatures, and low organic matt -- Iron. Fig. 7 shows that the soil has deteriorated in iron content. |
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Copper. Soil is self-sufficient in copper as demonstrated in Fig. 8. -- Manganese. Fig. 8 depicts that soil has shown improvement in the manganese content. -- Boron. Fig. 10 shows that the soil has significantly improved the boron content. -- Mapping of Soil Parameters With Crops -- Cropping Pattern of Satara District -- Soil Parameters Required for the Cropping Pattern -- Fertilizers Mapping Based on the Status of Nutrients in 2018-2019 -- Possible Causes for Low Yield -- Remedial Measures for Low Nutrient Content -- Conclusion |
| Note |
Chapter 2: Analytics in Metal Sustainability: Recovery of Non-renewable Resources Using Low-cost Biomaterials. |
| Summary |
Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Big data -- Industrial applications.
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Big data. |
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Big data -- Scientific applications.
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Business planning -- Statistical methods.
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Business planning. |
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Statistics. |
| Genre/Form |
Electronic books.
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| Added Author |
Tripathy, Kamal K., 1973-
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Kumbhar, Vidya, 1980-
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| Other Form: |
Print version: Kumari, Sneha Application of Big Data and Business Analytics Bingley : Emerald Publishing Limited,c2020 9781800438859 |
| ISBN |
1800438869 |
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9781800438866 (electronic book) |
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