Utilizing Remote Sensing to Analyze Land Usage and Rice Planting Patterns

Milikich, Nicholas

arXiv.org Artificial Intelligence 

In particular, a spatial patterning is observed which is heavily reliant on the farmer's decision to plant crops as well as the response from physical environment like pest damage and water shortage. In their paper, Lansing et al. [1] proposed an evolutionary game theoretic model to infer particular power laws governing this spatial patterning along the Bali region. Figure 1 illustrates a snapshot of rice patches in Bali with colors to indicate the different stages of rice growth. The hypothesis presented by the authors suggest that the complex dichotomy between the human actions and the ecology reaches an optimal state where the harvests are maximized in a non-cooperative game. By experimentation, the authors articulate that the adaptation in a tightly coupled human-natural system can trigger a self-organization pattern [2].

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