Dairy farming can be an energy intensive form of farming. Understanding the factors affecting electricity consumption on dairy farms is crucial for farm owners and energy providers. In order to accurately estimate electricity demands in dairy farms, it is necessary to develop a model. In this research paper, an agent-based model is proposed to model the electricity consumption of Irish dairy farms. The model takes into account various factors that affect the energy consumption of dairy farms, including herd size, number of milking machines, and time of year. The outputs are validated using existing state-of-the-art dairy farm modelling frameworks. The proposed agent-based model is fully explainable, which is an advantage over other Artificial Intelligence techniques, e.g. deep learning.

Technological advances have brought seismic shifts to various industries in Asia's fourth-largest economy, but the livestock sector is considered to have relatively lagged behind others despite having huge future prospects. Daniel Kyeong, co-founder and CEO of South Korea-based tech startup Animal Industry Data Korea, or AID Korea, was quick to jump on an idea -- develop a health care solution for livestock by utilizing artificial intelligence (AI) technology. Founded in 2017, AID Korea provides each farm owner with a customized solution. Its AI-powered management platform called « Farmsplan » not only increases productivity but also enhances animal welfare, which will eventually lead to quality meat. The system employs overhead surveillance cameras installed at each farm to monitor each labeled animal and to track down any abnormal behavior or movement with its AI algorithm and big data analysis.

This paper studies a new renewable energy investment model through crowdfunding, which is motivated by emerging community solar farms. In this paper we develop a sequential game theory model to capture the interactions among crowdfunders, the solar farm owner, and an electricity company who purchases renewable energy generated by the solar farm in a multi-period framework. By characterizing a unique subgame-perfect equilibrium, andcomparing it with a benchmark model without crowdfunding, we find that under crowdfunding although the farm owner reduces its investment level, the overall green energy investment level is increased due to the contribution of crowdfunders. We also find that crowdfunding can increase the penetration of green energy in consumption and thus reduce the energy procurement cost of the electricity company. Finally, the numerical results based on real data indicates crowdfunding is a simple but effective way to boost green generation.