Effectiveness and profitability of automation technologies in greenhouse productivity and food security

Abstract

This paper examines the innovative impact of an automated system developed by the research and production company Gardens of Chechnya, which combines computer vision technologies and image data analysis methods to effectively assess plant health at the embryonic stage. Traditional visual data analysis methods have been labour-intensive and time-consuming, creating barriers to crop production and quality. The automated system developed for the company's scientific needs, based on computer vision, has excellent accuracy, allowing it to examine plants at a new level and detect even the slightest signs of disease and infection. This innovation speeds up the assessment process, reducing it from days to hours. The mobility of the system allows it to be used in various agricultural conditions, which simplifies the assessment of plant health. By making it easier to assess plant health, this innovation promises increased yields, reduced disease spread and faster results, meeting global goals for food security and sustainable agriculture.

Cost-benefit analysis of implementing automated systems in agricultural micropropagation

“…Comparative economic analyses, factoring in initial setup costs, maintenance, and operational expenses, reveal a nuanced financial landscape [9]. While the upfront investment in automated systems may be higher, the long-term economic benefits stemming from increased efficiency, disease control, and resource optimization contribute to a favorable , 01025 (2024) BIO Web of Conferences AQUACULTURE 2023 https://doi.org/10.1051/bioconf/20248401025 84 return on investment.…”