Asian agriculture is faced with major new challenges as a result of globalisation, urbanisation and environmental problems such as climate change. To meet these challenges, Asian agriculture needs to become more knowledge intensive and innovation oriented. This article frames the new Asian challenge in terms of innovation theory, emphasising the importance of the co-evolution of technological and institutional change and linkages between actors in open, interactive innovation processes.

In creating a usable Information System (IS), the quality of information is crucial for making the right decisions. Although, many Information Quality (IQ) features have been identified in a broader context, only certain IQ features would become applicable for each domain from the usability perspective. This study focuses on a theoretical analysis to identify the IQ features which would be significant to produce a usable agricultural information system with respect to the developing countries.

Mounting evidence points to the fact that climate change is already affecting agriculture and food security, which will therefore make the challenge of ending hunger, achieving food security, improving nutrition, and promoting sustainable agriculture even more difficult (FAO 2016). Through Sustainable Development Goal (SDG) 13, the 2030 Agenda calls for strengthened resilience and adaptive capacity in response to natural hazards and climate-related disasters globally.

The publication reviews forty years of development experience and concludes that donors and partner countries alike have tended to look at capacity development as mainly a technical process, or as a transfer of knowledge or institutions from North to South.

Undertaking Capacity Needs Assessment (CNA) is critical for organizing appropriate capacity development interventions. AESA organised four workshops on CNA of EAS in India, Sri Lanka, Bangladesh and Nepal with the following objectives. 
1. Identify capacity gaps among EAS providers 
2. Finalise a methodology for undertaking capacity needs assessment.