Pengfei Li
Luoyang Institute of Science and Technology, Luoyang, Henan, 471000, China

DOI:https://doi.org/10.5912/jcb1809


Abstract:

Based on bioinformatics, this paper constructs an agricultural business management platform to enhance agricultural efficiency and optimize the agricultural business environment. Firstly, the correspondence between expression behavior and physiochemical functions of crop genomes was established by local sampling method to reveal the important characteristics of crop bioinformatics. Then, comparative genomics is used to analyze crop genomes to understand the evolutionary aspects of biological phylogeny and to reveal differences in genetic variation, gene family evolution and gene function. Finally, new digital technologies are used to monitor crop growth parameters from macroscopic to microscopic levels to analyze ecological information about crops, such as soil moisture, climatic conditions, plant morphology and physiological characteristics. The results show that after the implementation of digital agriculture, the productivity of Chinese regions has increased by 38%, the average score of the business environment is around 75.8, and the GDP per capita has increased by 28%. The application of the platform has optimized the production efficiency and business environment of agriculture and provided strong support for sustainable agricultural development.