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

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Author(s): Mohammad Farukh Hashmi (NIT Warangal, India), Aashish Kumar (Anurag Group of Institutions, India)and Avinash G. Keskar (VNIT Nagpur, India)
Copyright: 2020
Pages: 26
Source title: Fuzzy Expert Systems and Applications in Agricultural Diagnosis
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)and M. Kalpana (Tamil Nadu Agricultural University, India)
DOI: 10.4018/978-1-5225-9175-7.ch006

Keywords: Agricultural & Food Technologies / Environment & Agriculture / Environmental Science and Technologies / Information Science Reference

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

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