| Abstract | Agriculture remains a cornerstone of the Indian economy, contributing substantially to
national growth and food security. Enhancing agricultural productivity demands
improvements in both the quality and quantity of crop yield while minimizing operational
costs. One of the major challenges faced by farmers is the prevalence of weeds and pests,
which adversely affect crop health and yield. Traditional control methods, including manual
weed removal and the extensive use of agrochemicals such as herbicides and pesticides, are
labor-intensive, expensive, and potentially harmful to crops and the environment. A more
sustainable and cost-effective alternative is selective treatment, which targets weeds,
diseases, and pests precisely—requiring an intelligent computer vision system capable of
functioning efficiently on resource-limited devices.
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