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Intelligent automation supports us against cyclones, droughts, and seismicevents with recent technology advancements. Algorithmic learning has advancedfields like neuroscience, genetics, and human-computer interaction. Time-seriesdata boosts progress. Challenges persist in adopting these approaches intraditional fields. Neural networks face comprehension and bias issues. AI'sexpansion across scientific areas is due to adaptable descriptors andcombinatorial argumentation. This article focuses on modeling Forest loss usingthe VANYA Model, incorporating Prey Predator Dynamics. VANYA predicts forestcover, demonstrated on Amazon Rainforest data against other forecasters likeLong Short-Term Memory, N-BEATS, RCN.

Volterra Accentuated Non-Linear Dynamical Admittance (VANYA) to model Deforestation: An Exemplification from the Amazon Rainforest