Researchers from the Indian Institute of Technology Madras (IIT-M) and Harvard University have developed a novel machine learning algorithm to save wildlife. They have named their solution ‘CombSGPO’ (Combined Security Game Policy Optimisation).
Salient features of CombSGPO
- The combined and coordinated use of drones and forest rangers could prevent animals from being poached.
- Since both drones and rangers are limited resources, the researchers developed an algorithm that provides highly efficient, scalable strategies.
- Once the extent of resource is identified, the algorithm works by handling resource allocation and strategising patrolling.
- For this, it uses animal data population in the conserved area and assumes that poachers are aware of the patrolling done at various sites.
- The algorithm uses a game theory-based model. Game theory pertains to predicting areas where poaching may take place based on earlier poaching incidents and interaction between poachers and defenders.
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