Sustainable agriculture seeks to balance human nutritional needs with the preservation of environmental quality and the economic viability of agricultural systems. Principles of resource conservation, economic resilience, social equity, and competitiveness underpin this approach. Despite its potential to address crucial issues like food security, energy sustainability, and environmental stewardship, sustainable agriculture faces challenges. These include the scalability of its practices, potential economic constraints in the short term, and the need for significant shifts in policy and consumer behavior. A more explicit definition could encapsulate sustainable agriculture as integrating innovative practices that are environmentally benign, economically feasible, and socially equitable. This encompasses practices that reduce water scarcity, combat soil degradation, and address climate change impacts—crucial steps toward a robust and future-proof agricultural system. By acknowledging these challenges and specifying issues like water scarcity, soil health, and climate change, this abstract presents a balanced view of sustainable agriculture’s role in a sustainable future, highlighting its necessity and the urgent need for integrated efforts to overcome its implementation barriers.

This comprehensive article critically analyzes the advanced biotechnological strategies to mitigate plant drought stress. It encompasses an in-depth exploration of the latest developments in plant genomics, proteomics, and metabolomics, shedding light on the complex molecular mechanisms that plants employ to combat drought stress. The study also emphasizes the significant advancements in genetic engineering techniques, particularly CRISPR-Cas9 genome editing, which have revolutionized the creation of drought-resistant crop varieties. Furthermore, the article explores microbial biotechnology’s pivotal role, such as plant growth-promoting rhizobacteria (PGPR) and mycorrhizae, in enhancing plant resilience against drought conditions. The integration of these cutting-edge biotechnological interventions with traditional breeding methods is presented as a holistic approach for fortifying crops against drought stress. This integration addresses immediate agricultural needs and contributes significantly to sustainable agriculture, ensuring food security in the face of escalating climate change challenges.

This study comprehensively explored the micropropagation and rooting capabilities of four distinct lavender genotypes, utilizing culture media with and without 2 g/L of activated charcoal. A systematic examination of varying concentrations of BAP for micropropagation and IBA for rooting identified an optimal concentration of 1 mg/L for both BAP and IBA, resulting in excellent outcomes. Following robust root development, the acclimatization of plants to external conditions achieved a 100% survival rate across all genotypes. In addition to the conventional techniques employed, integrating machine learning (ML) methodologies holds promise for further enhancing the efficiency of lavender propagation protocols. Using cutting-edge computational tools, including MLP, RBF, XGBoost, and GP algorithms, our findings were rigorously examined and forecast using three performance measures (RMSE, R², and MAE). Notably, the comparative evaluation of different machine learning models revealed distinct R2 rates for plant characteristics, with MLP, RBF, XGBoost, and GP demonstrating varying degrees of effectiveness. Future studies may leverage ML models, such as XGBoost, MLP, RBF, and GP, to fine-tune specific variables, including culture media composition and growth regulator treatments. The adaptability and ability of ML techniques to analyze complex biological processes can provide valuable insights into optimizing lavender micropropagation on a broader scale. This collaborative approach, combining traditional in vitro techniques with machine learning, validates the success of current micropropagation and rooting protocols and paves the way for continuous improvement. By embracing ML in lavender propagation studies, researchers can contribute to advancing sustainable and efficient plant propagation techniques, thereby fostering the preservation and exploitation of genetic resources for conservation and agriculture.

In this study, the solid culture method, and Plantform™ and SETIS™ temporary immersion bioreactor systems were used comparatively to propagate, root, and acclimatize ‘Grande Naine’ and ‘Azman’ banana varieties for rapid, cheap, and mass production in in vitro conditions. Micropropagation rate, plant height, number of leaves, and fresh and dry weight parameters were investigated in the micropropagation stage across eight subcultures. Rooting rate, plant height, number of leaves, number of roots/plant, root length, fresh and dry weight parameters were investigated in the rooting stage. Photosynthetic pigment analyses and stoma examinations were performed throughout all stages. In the micropropagation stage, a 20% increase in the Plantform™ system, a 12% increase in the SETIS™ system in ‘Grande Naine’, an 82% increase in the Plantform™ system, and a 98% increase in SETIS™ system in ‘Azman’ were determined compared to the solid culture. At the rooting stage, higher data were obtained from bioreactor systems than solid culture. Plants from bioreactor systems acclimatized faster and developed healthier in the greenhouse stage. It was determined that stomata were more active, and pigment accumulation was higher in bioreactor systems. Genetic variations across subcultures are among the most critical issues in banana clonal propagation. Leaf samples were taken from each system, and plant variation was investigated using SSR (Simple Sequence Repeat) markers. No variation was observed from the initial stage to the greenhouse stage. As a result, it has been determined that bioreactor systems are an essential alternative for the mass production of bananas.