B. Beulah

Papers

Total Citations

H-Index

About

B. Beulah is a researcher at the forefront of precision agriculture and IoT-enabled smart farming systems. Her most cited work, "IoT Based Weed Detection and Removal in Precision Agriculture" (2023, 7 citations), addresses a critical challenge in modern agriculture: the rapid growth of weeds that compete with crops for nutrients, water, and space. Beulah’s key contribution lies in developing an automated, IoT-driven framework for weed identification—a traditionally labor-intensive and time-consuming process. By integrating sensor networks and machine learning, her approach enables real-time detection and targeted removal, significantly reducing the need for chemical herbicides and manual labor. This work exemplifies her broader research focus on sustainable agricultural technologies, where she combines Internet of Things (IoT) architectures with data analytics to enhance crop management. Though early in her career, Beulah’s work has already garnered attention for its practical implications in food security and environmental conservation. Her research not only advances precision farming but also offers scalable solutions for smallholder farmers, marking her as an emerging voice in the intersection of agriculture and digital innovation.