Smart agriculture aims to optimize agricultural output using modern techniques sustainably to achieve high quality and financial returns. It faces challenges from complex, interconnected systems but can overcome these through decisions based on technical advice and data analytics from farmers, agronomists, and analysts. New business models are needed involving modeling and big data analytics to serve a growing global population approaching the total capacity of agricultural land.
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smartAg Conf. 2015-Shamal
1. Big Ag Data: Challenges
and Opportunities
Shamal Mohammed
Director
GeoInfo Fusion Ltd
2. Smart Agriculture aims to optimise
output per unit of land by using most
modern means in a sustainable way,
to achieve best in term of quality,
quantity and financial return.