Crop Recommendations

AI in Agriculture: A Liability Frontier # Precision agriculture promises to revolutionize farming through artificial intelligence, optimizing pesticide applications, predicting crop yields, detecting plant diseases, and operating autonomous equipment. But this technological transformation raises critical liability questions that remain largely untested in courts. When AI-driven recommendations violate regulations, who bears responsibility? When autonomous farm equipment causes injury, how is liability allocated? And when algorithmic bias harms smaller operations, what remedies exist?