Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
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
IRJIET, Volume 7, Issue 11, November 2023 pp. 217-224