However, AI adoption in farming is not without challenges. One major issue is cost. The expenses for installing, maintaining, and training workers to use AI systems can be too high for small- and medium-sized farms.
Another challenge is trust in technology. Since the reliability of AI can vary, some farmers may hesitate to fully rely on these systems. Also, concerns about data privacy and cyberattacks are increasing, as farms must protect sensitive information from misuse.
“One major obstacle is the high cost of purchasing and implementing these systems, which may be prohibitive for small- and medium-sized farms,” said Dara. “Also, reliability and accuracy of AI systems can vary, and farmers may be hesitant to rely heavily on new technology until they are confident it works well in their specific environment. Data privacy and security are other concerns, as sensitive farm data must be protected from potential hacking or misuse.”
To use AI successfully in agriculture, Dr. Dara suggests open communication and transparency in how systems work. She stresses the need to maintain strong security and ensure equal access to technology for all farmers.
By addressing these concerns and promoting responsible AI use, the agriculture sector can move toward a more efficient, fair, and sustainable food system.