The brain is our softest and most vulnerable organ, and understanding its physics is a
challenging but significant task. Throughout the past decade, numerous competing models …

This paper provides a review of an emerging field in the food processing sector, referring to
efficient and safe food supply chains,'from farm to fork', as enabled by Artificial Intelligence …

Constitutive modeling is the cornerstone of computational and structural mechanics. In a
finite element analysis, the constitutive model is encoded in the material subroutine, a …

Effective plant growth and yield prediction is an essential task for greenhouse growers and
for agriculture in general. Develo** models which can effectively model growth and yield …

This paper proposes a novel knowledge-and-data-driven modeling (KDDM) approach for
simulating plant growth that consists of two submodels. One submodel is derived from all …

COVID-19 disease has became a global pandemic in the last few years. This disease was
highly contagious, and it quickly spread throughout several countries. Its infection can lead …

Autonomous agents have many applications in familiar situations, but they also have great
potential to help us understand novel settings. In this paper, I propose a new challenge for …

Monitoring wheat yield and production is essential for ensuring global food security. Remote
sensing can be used to achieve it due to its ability to provide global, comprehensive …

This paper poses the challenge of develo** and evaluating integrated systems for
computational scientific discovery. We note some distinguishing characteristics of discovery …

Modeling dynamical systems involves two subtasks: structure identification and parameter
estimation. ProBMoT is a tool for automated modeling of dynamical systems that addresses …