Artificial Intelligence Development and Sharing Policy in an Agriculture Platform With Self-Built Farm
研究一个自建农场的农业平台是否应开发并共享人工智能技术给合作农户，发现平台仅在AI能提高或轻微降低种植效率时才共享，且AI效果越强农户越不愿接受共享。
As artificial intelligence (AI) technology continues to advance, an increasing number of platforms are integrating AI into their agricultural investments to manage pests and diseases. However, the complexity of AI application may increase the planting costs for farms. Meanwhile, platforms building their own farms is becoming a common practice in agriculture. This study presents a contract farming supply chain involving a platform and a farmer, where the platform resells the farmer's products and introduces its own farm's products as competitors. Unlike improving consumer utility, AI is developed to increase agricultural yields in this study. We use game theory to analyze and compare three AI technology policies of the platform: no AI, only developing AI in the self-built farm, and sharing AI with the farmer. Results show that the platform benefits from AI and shares the technology only if AI technology increases the efficiency of agricultural planting or slightly reduces it. Interestingly, the higher the AI technology effect, the less likely the farmer is to accept AI sharing policy. Additionally, when the farmer accepts it, the higher its efficacy, the less advantageous it may become. Through extended analysis, we find that these conclusions are stable regardless of whether the platform charges technology fees to the farmer or whether the role of AI is restricted. These insights contribute to a deeper understanding of AI technology policies for platforms in agricultural production.