Shraban Kumar Apat
Papers
1
Total Citations
7
H-Index
1
About
Shraban Kumar Apat is a researcher advancing the field of smart agriculture through the integration of sensor technology and autonomous systems. His most-cited work, "A Study on Smart Agriculture Using Various Sensors and Agrobot: A Case Study" (2022), has garnered 7 citations, reflecting growing interest in precision farming solutions. Apat’s research focuses on the practical deployment of multi-sensor networks—including soil moisture, temperature, and humidity sensors—coupled with agricultural robots (agrobots) to automate monitoring and crop management tasks. This case study demonstrates how real-time data collection and robotic intervention can optimize irrigation, reduce labor, and improve yield in small-scale farming. By bridging the gap between theoretical IoT frameworks and field-tested applications, Apat contributes actionable insights for sustainable agriculture. His work is particularly relevant for students and researchers exploring low-cost, scalable agri-tech solutions in developing regions. With a clear emphasis on interdisciplinary problem-solving, Apat continues to explore how sensor fusion and robotics can address food security challenges, making his research a valuable resource for those at the intersection of engineering and environmental science.
Research Focus
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Top Papers
- 1