This article provides a comprehensive analysis of deep learning (DL) applications for plant disease detection and classification, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive framework for researchers, scientists, and drug development professionals to troubleshoot chemical process parameters, ensuring product quality and regulatory compliance.
This comprehensive review explores the integration of multi-omics technologies for validating outcomes in plant metabolic engineering.
Network pharmacology has emerged as a pivotal paradigm for deciphering the complex polypharmacology of plant compounds, which often act through multi-target mechanisms.
This article provides a comparative analysis of volatile organic compounds (VOCs) and non-volatile compounds (NVCs) derived from plants, tailored for researchers and drug development professionals.
The accurate validation of deep learning algorithms is paramount for transitioning plant disease detection from a research concept to a reliable tool in precision agriculture.
This article provides researchers and scientists with a detailed exploration of modern techniques for validating plant gene function, with a focus on Virus-Induced Gene Silencing (VIGS) and gene knockout studies.
This article provides a comprehensive analysis of the chemical profiles across different plant parts—such as roots, leaves, flowers, and fruits—and their implications for pharmaceutical research.
This article provides a comprehensive guide for researchers and scientists on optimizing Ultra-High-Performance Liquid Chromatography (UHPLC) separations for complex plant matrices.
This article provides a systematic guide to centrifugal pump troubleshooting tailored for the precise demands of chemical plants and drug development environments.