Agriculture, a vital sector in the global economy, needs an in-depth analysis of the endto-
end agricultural supply chain for its sustenance. Some of the key challenges include
poor forecasting of market demand, production volume, poor traceability, inefficiencies
in logistics, and limited transparency, all of which are exacerbated with climate change,
population growth, and dwindling natural resources. In addition, the farmer-producerdistributor-
broker-consumer location and network need detailed analysis. To achieve
sustainable practices, it is essential to optimize agricultural supply chains, minimizing
waste and reducing environmental impact while ensuring fair and transparent
transactions.
The convergence of blockchain technology and geospatial artificial intelligence (GeoAI)
holds incredible potential to transform the agricultural sector, provide an opportunity
to address existing challenges, and create a more sustainable agricultural supply chain.
It can bring a more efficient, transparent, and secure system to ensure quality and
safety of agricultural products while reducing waste and improving sustainability. These
technologies help address today’s pressing challenges by leveraging the vast amount of
data available almost daily, and applying advanced AI/ML techniques to effectively and
efficiently manage the supply chain, and strategize for sustainable agriculture.