The Role and Benefits of ChatGPT in the Agriculture Sector in EU Countries

Abstract

The implementation of ChatGPT in the agricultural sector throughout the countries of the EU is revolutionising conventional farming methods. ChatGPT utilises sophisticated artificial intelligence capabilities to offer immediate assistance and valuable information to farmers, thereby improving their ability to make informed decisions and increasing their efficiency. The uses of this technology span from enhancing crop yields through predictive analytics to providing personalised guidance on sustainable farming methods. Moreover, ChatGPT enhances the effectiveness of supply chain management and enhances communication between stakeholders. This technological innovation aligns with the European Union's objectives of fostering a more sustainable and innovative agricultural future.

This study examines the role and benefits of ChatGPT, an advanced artificial intelligence technology, in the agriculture sector of EU countries. The analysis is based on a mixed-effects model using secondary data from the European Commission's agricultural database and various agricultural research institutions across EU countries. The model includes covariates such as crop yields, water consumption, and decision-making scores, and accounts for country and year fixed effects.

The results indicate that ChatGPT adoption has a statistically significant and positive impact on crop yields, resource consumption, and decision-making capabilities. Specifically, ChatGPT adoption leads to a 0.87 metric ton increase in crop yields per hectare, a 230 cubic meter reduction in water consumption per hectare, and a 1.24-point increase in decision-making scores. The findings demonstrate the potential of ChatGPT to improve agricultural performance in EU countries, and highlight the importance of integrating AI technologies in the agricultural sector to address pressing challenges such as resource scarcity and climate change.

The study has some  limitations, including potential unobserved confounding factors and the generalizability of the findings across different agricultural practices and contexts. Future research should explore the long-term impacts of ChatGPT and other AI technologies on agriculture.