AI in Agriculture Hinges on Fixing Data Infrastructure First

AI can help farmers predict crop yields and optimize inputs, but most agricultural data remains unstructured and siloed. Without standardized, high-quality datasets, AI models risk producing unreliable recommendations. Industry leaders must invest in data pipelines before deploying AI at scale.