Ayush Shukla

Galgotias University

Papers

1

Total Citations

49

H-Index

1

About

Ayush Shukla is a researcher at the forefront of smart agriculture, leveraging Internet of Things (IoT) and machine learning to revolutionize farming practices. His most-cited work, "IoT based Soil Nutrition and Plant Disease Detection System for Smart Agriculture" (2021, 49 citations), addresses the pressing challenge of feeding a growing global population by enhancing agricultural efficiency. Shukla’s key contributions lie in developing integrated systems that monitor soil health and detect plant diseases in real time, enabling farmers to make data-driven decisions that reduce dependency on imports and ensure food security. His research bridges the gap between technology and traditional farming, offering scalable solutions for sustainable crop management. With a focus on practical, low-cost innovations, Shukla’s work has garnered attention from both academic and agricultural communities, highlighting its potential to transform smallholder farming. His achievements include pioneering sensor-based frameworks that optimize resource use and minimize crop loss, positioning him as a rising voice in precision agriculture. For students and researchers exploring the intersection of IoT and agri-tech, Shukla’s research provides a compelling blueprint for using technology to tackle real-world food production challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
49
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
IoT based Soil Nutrition and Plant Disease Detection System for Smart Agriculture
49 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Galgotias University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago