South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To solve the crisis, transboundary approaches along with AI and IoT-based Bigdata schemes are required to increase yield and minimize pre-postharvest losses in intangible climates for driving the sustainable development goal (SDG) for feeding the major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2).
The aim of the session is to focus on the solution through smart IoT and AI-based agriculture including genetic adaptation against drought and pest infestation, minimizing agricultural fertilizers and pesticide application to ensure food security.
South and Southeast Asia are one of the major agricultural hubs of the world, facing challenges of climate change and feeding the fast-growing population. To solve the crisis, transboundary approaches along with AI and IoT-based Bigdata schemes are required to increase yield and minimize pre-postharvest losses in intangible climates for driving the sustainable development goal (SDG) for feeding the major part of the 9 billion population by 2050 (Society 5.0 SDG 1 & 2).
The aim of the session is to focus on the solution through smart IoT and AI-based agriculture including genetic adaptation against drought and pest infestation, minimizing agricultural fertilizers and pesticide application to ensure food security.
