# Digitalization and Future Agro-Food Supply Chain Management: A Literature-Based Implications
## 3 Results and Discussion
### Major Problems in the Agro-Food Supply Chain Addressed by Digitalization (Main Application Areas)
\begin{table}
\begin{tabular}{c l} \hline \hline \multirow{2}{*}{**Source**} & **Research Outcome from Concluding Remarks in a Single Statement (Focus of the Digitalization Concept and Main Problem/s Addressed)** \\ \hline
[18] & Machine learning (ML) techniques can benefit agriculture supply chains and lead to sustainability. \\ \hline
[45] & Geographic information system (GIS)-based fuzzy applications can be used in land suitability assessment, real-time crop quality inspections; real-time weather forecasting, locations models for cold storage, and real-time perishable agri-transportation model considering socio-economic factors, among others. \\ \hline
[46] & Food security, safety, and sustainability can be addressed through big data applications. \\ \hline
[47] & Blockchain technology can contribute to a more sustainable food industry and help to achieve traceability by irreversibly and immutably storing data. \\ \hline
[81] & To produce more food more sustainably, the use of digital technologies offers potential solutions. \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Main concluding remarks in the reviewed papers related to Sustainability function. (Source: created by authors). \begin{table}
\begin{tabular}{p{142.3 pt} p{284.5 pt}} \hline \hline
**Source** & **Research Outcome from Concluding Remarks in a Single Statement (Focus of the Digitalization Concept and Main Problem/s Addressed)** \\ \hline
[92] & A blockchain-based framework (Food Safety Quick Response Block, FoodSQRBlock) using QR codes can be successful. \\ \hline
[93] & Food safety, product quality, and associated economic benefits in the dairy industry can be achieved through technological innovation and introducing FSCM practices into lean and green initiatives. \\ \hline
[94] & Blockchain, in the context of e-agriculture, has potential for reshaping the entire sector and helping to resolve the food crisis. \\ \hline
[95] & Sensor-based mobile application technologies for monitoring tracking information and storage conditions of agri-food products are useful in real-operation contexts. \\ \hline
[57] & Wireless sensor networks, cloud computing, IoT, image processing, convolutional neural networks, and remote sensing can improve coffee supply chains. \\ \hline
[96] & Digitalization has disrupted food distributor models; E-commerce models and IoT are essential factors causing retailers to innovate their business models. \\ \hline
[97] & Blockchain-based ASCM can help restrict opportunism in agri-food chains by facilitating management of uncertainty and asset specificity. \\ \hline
[98] & Digital technologies alter agricultural supply chains and offer new ways to create value. \\ \hline
[99] & Competitive advantages can be achieved using ICT solutions for widening and maintaining relations through more effective information flow with partners and consumers. \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Main concluding remarks in the reviewed papers related to other performances including safety, productivity, risk management, and resilience during crises. (Source: created by authors).