Artificial Intelligence (AI) and Internet of Things (IoT) for Inclusive Agro-Ecosystems for Sustainable Development

Abstract

The technological advancements in agriculture have resulted in higher yields but lower nutritional
value and ecological efficiency. Lesser innovations in later sectors have crippled our agroecosystems to meet the demands. Recent advances in earth observation system (EOS), openaccess (AO), artificial intelligence (AI) and machine learning (ML) along with smartphone enabled
citizen science (CS) opened tremendous opportunity to address the gaps for demand-driven
precision interventions across the scale (e.g., space, time and package). Such technological
enablement for smallholder farmers and farms is very much needed to achieve the desired yield
and agro-economy. While complexity of small landholdings, heavy and embedded-machinery is
expensive and/or often not universal for diverse cropping. Therefore, it is necessary to bring
insights from raw/big-data through a unified system leveraged by intelligent information
processing to enhance the farm productivity and profits. The system address the market flux in
response to supply-depend symmetry of the given commodities in the target zone. The proposed
inclusive-integrated system gives power to farmer by leveraging the AI, ML, and IoT to give
optimum solutions at famer's finger tips. Our aim is to reduce the resources use and enhance the
agro-ecosystem productivity of farms and farmers. This multidimensional and interactive
information will also help proper alignment of the factors at a manageable scale and affordable
cost to benefits stallholders and support the sustainable development goals (SDGs)