Use of artificial intelligence (AI) in agriculture promises to improve the sectors’ productivity and revenue, however, no technology is without limitations, risks or trade-offs.
Uptake of technology and innovation is influenced by a range of social, cultural and economic factors. Location, size and farm type further intensify the complexity of “predicting” technology uptake in agriculture. So what does this mean for innovators, marketers and business in general within the agtech space? Can adoption rates for agtech be modelled and quantified?
Sensor technology can provide huge value and efficiency gains in a range of agricultural industries, but they are not without their limitations.