From Sensor Data to Smart Decisions with an Integrated Framework for Next-Generation Farming Systems
The advancements of internet of things sensors, artificial intelligence data analytics, and big data technologies have shifted Agriculture making new possibilities of productivity, sustainability, and decision making. They envisage an integrated system of these technologies that enhance the transformation of raw sensor data into usable information for next generation farming systems proposed in this paper. To increase efficiency, the framework is designed to bridge the existing gap between collecting data and applying it and the general concept will help to address the current challenges faced in post and present day farming.
Authors
- Vishal Jain (ORCID: https://orcid.org/0000-0003-1126-7424)
- Ibrohimbek Yusupov (ORCID: https://orcid.org/0000-0002-2166-6683)
- Raj Kumar (ORCID: https://orcid.org/0000-0003-4669-9286)
- Danish Ather (ORCID: https://orcid.org/0000-0003-1596-5553)
- Sonia Duggal (ORCID: https://orcid.org/0000-0003-0713-5904)
- Pinki Sagar
Institutions
- Tashkent University of Information Technology (UZ)
- Manav Rachna International Institute of Research and Studies (IN)
- Sharda University (IN)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/ictacs62700.2024.10841125
- Citations
- 15
- Primary Topic
- Food Supply Chain Traceability
- Type
- article
- Field-Weighted Citation Impact
- 5.23