| Yield prediction based big data |
Engen et al. (2021), Fan et al. (2015) and Kamath et al. (2021)
|
Assist in the procurement process and the distribution of food resources across different regions. |
| Delphi survey |
Allen et al. (2019), Markou et al. (2020) and Vogel et al. (2019)
|
It can aid in the procurement and distribution of goods in a decentralized and distributed manner. |
| Traceability based Blockchain |
Lin et al. (2017), Xiong et al. (2020) and Yadav et al. (2021)
|
Avoid food losses, shrinkages, and fraud in FSS |
| Mobile application for crop details |
Ahmed & Reddy (2021), Meeradevi & Salpekar (2019) and Yang & Xu (2021)
|
Crop yield, diseases prediction, horticulture research and policy designing |
| Robotics technology |
Asseng & Asche (2019) and Asseng et al. (2020)
|
Food production and quality without farmers |
| Sensors and image processing |
Eerens et al. (2014), Lew et al. (2020) and Rasti et al. (2021)
|
Ensure better quality control, and higher yield |
| Sharing information-based channels |
Singla, Nishu & Deepika (2020) and Wolfert et al. (2017)
|
Better supply chain coordination is aided by information sharing. It also helps supply chain partners build trust. |
| Refrigeration IoT interface |
Talavera et al. (2017)
|
The temperature can be adjusted depending on the type and quantity of stock in the refrigerator. |
| Food AI package before date |
Mavani et al. (2021)
|
Decreasing food waste and ensuring food safety |
| Policy improvement using technology |
Jeevanandam et al. (2022) and Masiero (2015)
|
FSS monitoring and quality control |
| e-farm marketing |
Masiero (2015)
|
Avoid losses, maintain food and exclude the intermediate retailers |
| Consumption pattern simulations |
Christensen et al. (2018) and Yang et al. (2020)
|
Assist policy-makers in designing a FS system that is appropriate for population consumption behavior. Modeling the pattern of power consumption using a single sensor |
| Encoded digital data |
Golan, Jernegan & Linkov (2020)
|
Tracking the goods movement throughout the supply chain. |
| Cloud computing optimization (Google Collaboratory, Azur, IBM, AWS) |
Castelvecchi (2017), Christensen et al. (2018), Langmead & Nellore (2018), Satyanarayanan (2019) and Vanderroost et al. (2017)
|
Saving time, reducing food losses, and keeping high quality |
