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  Published Paper Details:

  Paper Title

ENHANCING AGRICULTURAL METHODS THROUGH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS

  Authors

  S K Biswal,  M R Pattnaik,  R N Behera

  Keywords

sewage, BOD, Solids, ASP, public health. Sewage

  Abstract


Water stands as one of the most crucial and indispensable resources for all life on Earth, including humans. However, the rampant spread of pollution and contamination poses a severe threat to its quality and availability. A significant contributor to this crisis is the unchecked disposal of untreated industrial waste into nearby bodies of water like lakes, ponds, and rivers. It's imperative that educational institutions prioritize the establishment of efficient sewage treatment facilities to manage the wastewater generated on their premises. Before constructing such a facility, a comprehensive analysis of the wastewater's characteristics is essential. Parameters such as pH level, total solids, suspended particles, hardness, alkalinity, fluoride, iron, ammonia, nitrate, and phosphate require thorough examination. The primary goal of a sewage treatment plant is to receive and process wastewater from various sources like hostels, colleges, and canteens, eliminating any harmful substances that could endanger the surrounding environment. The ultimate aim of sewage treatment is twofold: to produce a treated effluent that meets environmental safety standards and to generate treated sludge suitable for disposal or potential reuse, typically as fertilizer in agriculture. This process involves the removal of diverse pollutants including solids, organic matter, nutrients, salts, metals, and pathogens. Effective wastewater management is paramount for safeguarding both environmental integrity and public health. Various methods are employed for sewage/wastewater treatment, all aimed at reducing water and organic content. The overarching objective of wastewater management is to ensure environmental protection while addressing public health and socioeconomic considerations. This project focuses on the meticulous design of a comprehensive sewage treatment system, encompassing key components such as storage tanks, screen chambers, primary sedimentation tanks, the activated sludge process (ASP), and secondary sedimentation tanks.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A4208

  Paper ID - 265814

  Page Number(s) - j359-j366

  Pubished in - Volume 11 | Issue 4 | April 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S K Biswal,  M R Pattnaik,  R N Behera,   "ENHANCING AGRICULTURAL METHODS THROUGH ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.j359-j366, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A4208.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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