Abstract:
Agriculture is considered one of the world’s most prioritized sectors, while being an older
occupation that started with the settlement of life on earth. A country's Food availability
depends on agriculture, and demand for food production has increased with the growing
population of Sri Lanka. Artificial Intelligence Technology has the potential to solve the
problems while strengthening the agriculture. The author of this paper presents a
substantial discussion on the Potential practices, Challenges and research needs of
artificial intelligence in the Sri Lankan Context. The methodology adopted in the study is
qualitative, with a literature content analysis. Artificial Intelligence can be applied for the
automation of irrigation systems, monitoring crops and soil, detection of pests and
diseases, monitoring of livestock health, application of pesticides, yield mapping and
predictive analysis, automation of weeding and harvesting, sorting, surveillance, etc. The
local challenges are financial issues, advanced technologies with limitation factors,
adoption problems of people with minimum skills, and privacy and security problems
relating to data. The extended research on Climate and crop-specific studies and integrated technologies for production chain optimization are noteworthy under Sri Lankan
conditions. Sri Lankan Agriculture has the potential practices for applying Artificial
Intelligence Technology following some Challenges and significant Research needs
