Imaging technologies and implementation of plant biomarker in agriculture using smart fertilizer management norms

Yousef Methkal Abd Algani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There is a rapid increase in the agriculture field due to the fertilizer use, the fertilizer has increased the growth of crop production and negative effect over the fertilization is also reduced. The fertilizer is considered as the crucial point in the world of agriculture. In precision agriculture correct amount of fertilizer is given based on the smart fertilization this includes the information or data set, sensor or smart tools. This could provide smart fertilization and integrated nutrient management. The recent research in prediction method like machine learning based hyperspectral imaging support the N fertilization accuracy. By using image processing method, the damage caused by the various nutrients such as iron, potassium and nitrogen can be predicted by using Red, Green and Blue (RGB) color image. The present imaging technology cannot predict the exact nutrients present in the soil. Hence, a biomarker method has been proposed to overcome the challenges. This could be able to predict the exacts quantity of nutrients present in the soil and the prediction rate of the particular nutrients is with high specificity. This paper presents an overview of the present approach to plant phenotyping by imaging and plant biomarker-technology and to soil estimation by using image technologies for smart fertilization management.

Original languageEnglish
Title of host publicationProblems in the Textile and Light Industry in the Context of Integration of Science and Industry and Ways to Solve Them, PTLICISIWS 2022
EditorsSherzod Korabayev, Plekhanov Aleksey, Huseyin Kadoglu, Salikh Tashpulatov, Nosir Yuldashev
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735444997
DOIs
StatePublished - 23 Jun 2023
Externally publishedYes
Event2022 International Scientific and Technical Conference on Problems in the Textile and Light Industry in the Context of Integration of Science and Industry and Ways to Solve Them, PTLICISIWS 2022 - Virtual, Online, Uzbekistan
Duration: 5 May 20226 May 2022

Publication series

NameAIP Conference Proceedings
Volume2789
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2022 International Scientific and Technical Conference on Problems in the Textile and Light Industry in the Context of Integration of Science and Industry and Ways to Solve Them, PTLICISIWS 2022
Country/TerritoryUzbekistan
CityVirtual, Online
Period5/05/226/05/22

Bibliographical note

Publisher Copyright:
© 2023 Author(s).

Keywords

  • Phenotyping
  • nutrient level
  • plant biomarker technology
  • smart fertilization

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