Vol. 8 No. 05 (2026): Volume 08 Issue 05

Agricultural productivity remains a critical determinant of economic stability, food security, and sustainable development in both developing and developed economies. The increasing demand for high-quality agricultural products, coupled with the need for efficient resource utilization, necessitates the integration of advanced biological engineering systems and optimization techniques. This study presents an analytical modeling framework that leverages biological engineering principles, machine learning-based classification, and non-destructive sensing technologies to enhance agricultural productivity. The research synthesizes existing methodologies such as image-based fruit grading, near-infrared spectroscopy, and automated sorting systems into a unified optimization model. Empirical insights derived from existing literature are integrated to demonstrate the effectiveness of system-level optimization in improving yield quality, reducing post-harvest losses, and enhancing export competitiveness. The proposed model also incorporates economic data trends to align productivity improvements with market demands. The findings suggest that a systems-based analytical approach significantly improves efficiency across agricultural value chains. However, implementation challenges such as technological accessibility, cost constraints, and data integration limitations remain critical considerations. The study contributes to the advancement of agricultural engineering by providing a scalable and adaptable framework for optimizing biological systems in agriculture.

In this article, the issue of creating a differential equation of fiber movement in determining the microneural index of cotton fibers using a universal tool is considered. In the study, the effects of electrostatic force, gravity and acoustic pressure affecting the movement of cotton fibers in the acoustic chamber were theoretically analyzed. Differential equations representing the movement of fibers were created, and based on their solutions, the laws of vertical movement of fibers were determined. Also, the effect of acoustic impact of different frequencies on fibers on their movement, amplitude and energy was analyzed through graphs. The obtained results allow to increase the efficiency of using the acoustic method in determining the microneural index of cotton fiber and to improve the fiber sorting process.

The growth-stimulating potential of four salt-tolerant Bacillus strains (B. subtilis 7А, 9А, 10А and B. proteolyticus 33S) on cotton (Gossypium hirsutum L.) was studied in vitro. Seed inoculation with the strains significantly increased germination, shoot and root length, as well as fresh and dry weight compared to the control. The most pronounced growth-promoting effect was observed with the B. proteolyticus 33S strain, which increased shoot length by 4.9 cm, root length by 2.72 cm, fresh weight by 0.20 g, and dry weight by 0.03 g relative to the control. The obtained results allow us to recommend the studied strains for further research with the aim of their future use in microbial biopreparations aimed at stimulating plant growth and improving the properties of saline soils.

The article gives a botanical description, biology, growth and development, flowering, reproduction, chemical composition, use in everyday life in medicine, in the elimination of rodents, as well as harvesting and storage, diseases and pests of green-flowered black corn - Cynoglossum viridiflorum Pall.ex. Lehm. In the Republic of Karakalpakstan.

This article examines the biological characteristics, morphology, karyotype, and legal status of Cannabis sativa L. in Uzbekistan. The structural and functional features of the root system, stem, leaves, flowers, fruits, and seeds are comprehensively described. Particular attention is given to cytogenetic characteristics, including the organization of metacentric and submetacentric chromosomes, nucleolar organizer regions, and the chromosomal mechanism of sex determination. Biological and morphological distinctions among Cannabis sativa, Cannabis indica, and Cannabis ruderalis are comparatively analyzed. In addition, the regulatory framework governing the cultivation and utilization of industrial cannabis in the Republic of Uzbekistan, together with international practices, is reviewed. The study emphasizes that modern genomic and biotechnological approaches considerably expand the potential applications of cannabis in medicine, industry, and agriculture.