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Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment

Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment

Mohammad Farukh Hashmi, Aashish Kumar, Avinash G. Keskar
Copyright: © 2020 |Pages: 26
ISBN13: 9781522591757|ISBN10: 1522591753|ISBN13 Softcover: 9781522591764|EISBN13: 9781522591771
DOI: 10.4018/978-1-5225-9175-7.ch006
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MLA

Hashmi, Mohammad Farukh, et al. "Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment." Fuzzy Expert Systems and Applications in Agricultural Diagnosis, edited by A.V. Senthil Kumar and M. Kalpana, IGI Global, 2020, pp. 83-108. https://doi.org/10.4018/978-1-5225-9175-7.ch006

APA

Hashmi, M. F., Kumar, A., & Keskar, A. G. (2020). Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment. In A. Kumar & M. Kalpana (Eds.), Fuzzy Expert Systems and Applications in Agricultural Diagnosis (pp. 83-108). IGI Global. https://doi.org/10.4018/978-1-5225-9175-7.ch006

Chicago

Hashmi, Mohammad Farukh, Aashish Kumar, and Avinash G. Keskar. "Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment." In Fuzzy Expert Systems and Applications in Agricultural Diagnosis, edited by A.V. Senthil Kumar and M. Kalpana, 83-108. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9175-7.ch006

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Abstract

In olden days, the plants used to tolerate and minimize the effect of air pollution caused by the then established industries and some automobiles. But in today's scenario, the rate at which plants and industries are rising doesn't match the count of trees. The plant survival and metabolism are based upon the nitrogen and chlorophyll available. There are several expensive methods to determine the chlorophyll and nitrogen content of the leaf like SPAD meter; the researchers have proposed a simple, inexpensive method that precisely determines the chlorophyll and nitrogen vales with a simple input RGB image. This chapter investigates the variation of content of plants in polluted environments and pollution-free environments.

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