Volterra Accentuated Non-Linear Dynamical Admittance (VANYA) to model
  Deforestation: An Exemplification from the Amazon Rainforest
Karthik R. Ramamoorthy A.
Intelligent automation supports us against cyclones, droughts, and seismic
events with recent technology advancements. Algorithmic learning has advanced
fields like neuroscience, genetics, and human-computer interaction. Time-series
data boosts progress. Challenges persist in adopting these approaches in
traditional fields. Neural networks face comprehension and bias issues. AI's
expansion across scientific areas is due to adaptable descriptors and
combinatorial argumentation. This article focuses on modeling Forest loss using
the VANYA Model, incorporating Prey Predator Dynamics. VANYA predicts forest
cover, demonstrated on Amazon Rainforest data against other forecasters like
Long Short-Term Memory, N-BEATS, RCN.