Software for monitoring the production process of rice agrocenosis based on a database
Abstract
Background. The results of the study of the production process of intensive and extensive rice varieties are summarized in a single database (DB) registered in Rospatent No. 202462462. It includes two main parts: descriptions of the object of study and tabular data having a structure and interrelations according to the logical scheme, which was created in the Microsoft Access program. The latter manages the database (DBMS) of biological features that form the rice yield. The database contains data for identifying the interaction of biological features of plants with their optical characteristics in the formation of the yield of rice agrophytocenoses and the introduction of scientifically sound methods for monitoring the physiological state of crops and forecasting the yield. In vegetation and microfield experiments, the patterns of growth and formation of productivity of different types of rice varieties are considered. Particular attention is paid to the characteristics of donor-acceptor relationships in plants and crops as the main stage of the production process, determining the economic productivity of genotypes.
Purpose. The aim of the research is to study the production process of intensive and extensive rice varieties.
Materials and methods. The research was carried out in two experiments: a vegetation-microfield experiment and a field experiment (2017-2024).
Results. The developed database contains a set of data reflecting information on the biological characteristics of plants that determine rice yield. Research on monitoring rice crops was conducted in the physiology laboratory of the Federal State Budgetary Scientific Institution "Federal Scientific Center of Rice". The developed database is necessary to identify the interaction of biological characteristics of plants with their optical characteristics. In this version of the program, five basic forms are used to enter the initial data, with the help of which data is entered, edited and viewed: information on the yield and its structure (productivity); optical characteristics of the object (optical indicators); information on the research material (research material); information on climatic conditions (climatic data); Variety passport (characteristics of the variety under study).
Conclusion. The structure of the DB of morphophysiological features of rice plants is presented. Information support for monitoring rice agrophytocenoses is carried out based on the entered data on biological features that form rice yield. Specialists of rice-growing farms to monitor the state of rice crops, adjust nitrogen fertilization and forecast the yield use the presented DB.
Sponsorship information. The work was carried out within the framework of the activities of the world-class scientific and educational center "Center for Modern Breeding of Agricultural Plants", which carries out research and development in priority areas of scientific and technological development (Agreement No. 075-15-2025-574).
EDN: HKCTRC
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References
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