Page 475 - Kaleidoscope Academic Conference Proceedings 2024

Innovation and Digital Transformation for a Sustainable World

Fig. 8: Block diagram of Our AI-based Application

Fig. 7: Sustainable Agriculture Engagement Model: Bridg- buyer preferences. By analyzing historical purchasing data,
ing Farmers’ Needs and Youth Interest in Farming browsing behavior, and feedback, the system can offer
personalized suggestions to each buyer, enhancing user
satisfaction and increasing sales for sellers. For instance,
By creating a supportive system that encourages the if a buyer frequently purchases organic vegetables, the AI
younger generation’s active participation, we can foster a can prioritize and highlight similar products from various
more resilient farming community. This approach, com- sellers. This not only helps in meeting the specific needs
bined with ongoing training, can facilitate the adoption of of the buyers but also assists sellers in targeting the right
new technologies and benefit the agricultural sector and the audience for their produce, thereby optimizing the overall
community overall. shows in 7 supply chain efficiency.
2) AI-based mobile application
The integration of artificial intelligence (AI) in agricul-
ture has the potential to revolutionize the traditional meth- Effective communication between buyers and sellers is
ods of buying and selling produce, particularly through crucial in this direct marketplace model, and language
a direct seller-to-buyer model. An AI-based application barriers can pose significant challenges. To address this,
designed for this purpose can streamline the process by al- the app incorporates a real-time translation feature pow-
lowing farmers to sell their products directly to consumers ered by AI, allowing seamless communication between
without intermediaries. This approach not only maximizes parties speaking different languages. For example, if a
the profits for the farmers by eliminating middlemen but buyer communicates in Bengali and the seller responds
also provides consumers with fresh, high-quality produce in Hindi, the app will automatically translate the mes-
at competitive prices. The AI system can analyze various sages into the respective native languages of both parties.
factors, such as market demand, seasonal trends, and indi- This ensures that both buyers and sellers can understand
vidual buyer preferences, to recommend the best products each other clearly, facilitating smoother transactions and
to users, ensuring a personalized and efficient shopping fostering trust within the marketplace. By breaking down
experience. language barriers, the AI-based app not only enhances user
One of the key features of this AI-based agricultural experience but also broadens the market reach for sellers,
marketplace is the recommendation system, which lever- promoting inclusively and accessibility in the agricultural
ages machine learning algorithms to understand and predict sector 8

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