Analyzing Crop Yield with Smart Farm Monitoring Systems
This study explores how improving field productivity and crop yield can be achieved through sensor-based agricultural land monitoring. The suggested system enables realtime evaluation of crop status, environmental conditions, and soil health by fusing cutting-edge technology for sensors with data analytics. The usefulness, difficulties, and effects of farm technology for monitoring are examined through a comprehensive review of previous studies. The results highlight the ways in which these innovations foster data-driven decision-making in fields like crop selection, fertilization, irrigation management, and pest control, ultimately enhancing crop production and resource efficiency. In light of climate change and increasing demand around the world, the study also highlights the possible benefits of sensor-driven solutions to reduce environmental risks, support sustainable farming methods, and improve food security.
Authors
- Apoorv Apoorv
- Abhishek Sharma (ORCID: https://orcid.org/0000-0001-6070-4403)
- S.K. Jain (ORCID: https://orcid.org/0009-0004-2832-2519)
- Uzzal Sharma (ORCID: https://orcid.org/0000-0002-5264-1016)
- A. P. Singh (ORCID: https://orcid.org/0000-0002-8762-7097)
- Himanshu Chaudhary (ORCID: https://orcid.org/0000-0001-5975-717X)
Institutions
- Institute of Management Technology (IN)
- Amity University (IN)
- Robotics Research (United States) (US)
Publication Details
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/iccsai64074.2025.11064080
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00