• ISSN: 2349-6002
  • UGC Approved Journal No 47859
Author Login IJIRT Partner Network (IPN) Login

Classification of agricultural soil contamination using Machine Learning

  • Unique Paper ID: 149903
  • Volume: 7
  • Issue: 1
  • PageNo: 1042-1048
  • Abstract:
  • Soil contamination has severely increased over the last years, especially due to petroleum hydrocarbons, heavy metals and pesticides from industrial wastes and human activities. Even though in general soil quality research is facing an important technological challenge and several actions have been taken in order to assess, remediate and reduce the effects of contaminants on soils, suitable and standardized monitoring and remediation strategies of soil are required. In this sense, in the last decade there has been a growing emphasis on the utilization of residues and waste materials, coming from different industrial activities, in several remediation technologies (e.g., chemical degradation, photo-degradation) and bioremediation in order to clean up contaminated soils. The critical point regarding contaminated soil monitoring is the intrinsic difficulty in defining fixed monitoring variables and indicators as the establishment of any a priori criterion and threshold for soil quality can be still considered subjective.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 1
  • PageNo: 1042-1048

Classification of agricultural soil contamination using Machine Learning

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry