Dandenong Agricultural & Pastoral Society

ALLAN. _ Kenneth.Members of Dandenong Agricultural and Pastoral Society extend their sincere condolences on the passing of our past President and Life Member. Read My Tributes article where we provide ...

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THE prospect of council fine may deliver another financial hit to the Dandenong Show, still reeling from a drop in attendance. The Leader understands the show society could potentially by fined for a ...

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India’s agricultural universities are undergoing a historic transformation through the National Agricultural Higher Education Project (NAHEP), supported by the World Bank and ICAR. With the rise of tech-driven learning—including drones, AI, precision farming, and digital classrooms—students are gaining future-ready skills to tackle climate change, food security, and sustainability ...

The World Bank has approved a $500 million International Development Association (IDA) credit for the Nigeria Sustainable Agricultural Value-Chains for Growth (AGROW) Project, aimed at increasing smallholder farmers productivity, strengthening agricultural value chains, and creating jobs while improving food and nutrition security.

The project has six components, including building resilient agricultural production capacity to strengthen the productivity and resilience of domestic food production to shocks and stressors, by supporting the development and adoption of improved agricultural inputs and services and climate-smart and gender-sensitive farming technologies in ...

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Agricultural household labor is therefore a key household asset and its accurate measurement is important. The estimation of labor inputs on smallholder farms is complex and vulnerable to misreporting. Smallholder farms typically employ mostly family labor; thus, there is no wage income in which to anchor recall estimates.

Artificial Intelligence presents a timely and powerful tool to help reimagine agricultural transformation in ways that are more productive, sustainable, and inclusive. This report presents a comprehensive and development-oriented analysis of how AI can be responsibly deployed across agrifood systems, especially in low- and middle-income countries.

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