Trust in scientific experts – even more than understanding their work – is the strongest predictor of support for artificial intelligence applications in agriculture. The finding is among conclusions reached by a new UF/IFAS study exploring Americans’ perceptions of AI-supported food and agriculture systems. …
The researchers emphasize that while their findings focus on retail-level waste, the benefits extend throughout the supply chain. Farmers benefit from increased orders, retailers save money by reducing waste and consumers get more affordable access to healthy food options. …
Under the right conditions, passion fruit can develop from a small plant to a fully mature fruit-bearing vine in less than a year. This allows for small farms to begin generating revenue, and ideally profitability, in a short amount of time. …
The color-coded system also simplified the decision-making process. Participants found it easier to process nutritional information and make purchasing decisions when presented with the colored labels. …
The EIAP economists attribute the significant difference between the low and high estimates in each range to uncertainty as well as to large swaths of agricultural lands where producers experienced weak hurricane conditions and reported minimal or no losses. …
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