Optimized fault detection and control for enhanced reliability and efficiency in DC microgrids.

This paper introduces a comprehensive framework for fault detection and control in DC microgrids (DCMGs) integrating diverse energy sources. A resistance-based fault detection scheme is proposed to address intermittent DC link faults, enabling efficient operation without complete system shutdown. Perturb and Observe (P&O) techniques are employed for PV and wind power tracking, while proportional-integral (PI) controllers manage fuel cell (FC) and battery energy storage systems (BESS).

Deciphering Phyllomicrobiome of Cauliflower Leaf: Revelation by Metagenomic and Microbiological Analysis of Tolerant and Susceptible Genotypes Against Black Rot Disease.

Understanding the phyllomicrobiome dynamics in cauliflower plants holds significant promise for enhancing crop resilience against black rot disease, caused by Xanthomonas campestris pv. campestris. In this study, the culturable microbiome and metagenomic profile of tolerant (BR-161) and susceptible (Pusa Sharad) cauliflower genotypes were investigated to elucidate microbial interactions associated with disease tolerance.

Assessing the efficacy of phyllospheric growth-promoting and antagonistic bacteria for management of black rot disease of cauliflower incited by Xanthomonas campestris pv. campestris.

The study aimed to assess the potential of phyllospheric bacterial strains isolated from cauliflower plants as biocontrol agents against black rot disease caused by Xanthomonas campestris pv. campestris, through both in vitro and in vivo evaluations. A total of 46 bacterial strains were isolated from healthy and infected cauliflower leaves of both resistant and susceptible plants, and evaluated them for various traits, including plant growth-promoting activities and in vitro antagonistic activity against Xanthomonas campestris pv.