Modern methods of assess- ing the resources of honeylands

• Published in: Bulletin of NSAU (Novosibirsk State Agrarian University)
• Main Authors: I. D. Samsonova, A. A. Plakhova, И. Д. Самсонова, А. А. Плахова
• Format: Article in Journal/Newspaper
• Language: Russian
• Published: Publishing Centre “Zolotoy Kolos” of Novosibirsk State Agrarian University 2024
• Subjects: высокоэффективная жидкостная хроматография; flora analysis; honey-bearing resources; honey stock; sugar content in nectar; pollen analysis; modern GPS technologies; drones; radio frequency identifiers; exponential nectar collection method; high-performance liquid chromatography; анализ флоры; медоносные ресурсы; медовый запас; содержание сахара в нектаре; пыльцевой анализ; современные технологии GPS; дроны; радиочастотные идентификаторы; метод экспоненциального сбора нектара; Arctic
• Online Access: https://vestngau.elpub.ru/jour/article/view/2173; https://doi.org/10.31677/2072-6724-2023-69-4-272-285

An information review of innovative methods for assessing the resources of honey-bearing lands is presented. The relevance and problems of their use are noted. Alternative strategies for determining the resource potential of honey-bearing lands are shown. Scientific methods of identifying honey plants are described: the study of vegetation, analysis of the chemical composition of honey and its properties, the use of drones to survey honey grounds, and the use of artificial intelligence to process large amounts of data about honey grounds. GPS (global positioning system) technologies, which allow accurate geospatial mapping of homelands, are currently the most widespread. The identification of honey plants to improve the food supply is carried out by various methods: floral analysis of vegetation, pollen analysis, informational analysis of vegetation, and observation of the behaviour of bees in hives. New techniques for determining the land’s honey reserves and the flowering intensity of honey plants are presented: collecting nectar samples and sugar content in nectar, which helps collect data on nectar productivity and nectar quality with greater accuracy and efficiency. RFID tags are widely used for producing and managing honey stocks, monitoring the condition of hives, and determining bee colonies’ productivity. Thanks to advances in technology and scientific research, many new approaches allow for more accurate and efficient selection of resource aspects of honey lands. Представлен информационный обзор инновационных методов оценки ресурсов медоносных угодий. Отмечены актуальность и проблемы их использования. Показаны альтернативные методы определения ресурсного потенциала медоносных угодий. Описаны научные методики выявления медоносных растений: изучение растительности, анализ химического состава меда и его свойств, применение дронов для съемки медоносных угодий, использование искусственного интеллекта для обработки больших объемов данных о медоносных угодьях. Наибольшую распространенность в настоящее время ...