An Integrated Platform for the Identification of Suitable Lands and Soil Conditions for Remunerative Crops in Sri Lanka

Abstract

Agriculture in Sri Lanka faces several limitations that impact its development and productivity, including land constraints, climate change impacts, and limited technology adoption. To address these challenges, this research presents an integrated platform combining IoT, GIS mapping, remote sensing, and data analytics. The platform facilitates the identification of optimal lands and soil conditions for cultivating remunerative crops, including coconut, saffron, and vanilla. The study achieved a 98% accuracy in crop prediction using machine learning algorithms, and plant disease detection surpassed 95% accuracy. These results demonstrate the potential to revolutionize agriculture in Sri Lanka and contribute to economic growth and food security.

Country : Sri Lanka

1 R.R.Nimesha Manchalee2 Madhushika A.H.D3 W.G.H Janadeepa4 P.D.A.M.Arachchige5 Mr. Sathira Hettiarachch6 Mrs. Devanshi Ganegoda

  1. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, 10115, Sri Lanka
  2. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, 10115, Sri Lanka
  3. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, 10115, Sri Lanka
  4. Department of Information Technology, Sri Lanka Institute of Information Technology, Malabe, 10115, Sri Lanka
  5. Department of Information Technology – Computing (FOC), Sri Lanka Institute of Information Technology, Malabe, 10115, Sri Lanka
  6. Department of Information Technology – Computing (FOC), Sri Lanka Institute of Information Technology, Malabe, 10115, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 217-224

doi.org/10.47001/IRJIET/2023.711030

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