Final answer:
The QAT method achieves higher accuracy than PTQ for counting individuals because it uses a consistent unit area for counting, reducing the chance of double-counting individuals.
Step-by-step explanation:
The question relates to methods of estimating population size in biology. Specifically, it looks at two different quantization techniques for counting individuals: Quadrats (QAT) and Post-Training Quantization (PTQ). The QAT method can achieve higher accuracy over PTQ as it involves physically marking out a square in the habitat area where the individuals are counted. This allows for the estimation of population size within a specific, consistent unit area and reduces the chances of counting the same individual twice. PTQ, on the other hand, may not provide the same level of accuracy as it might involve estimating population size from a larger, varied area without such specific demarcations.
The QAT (Quadrat Assessment Technique) can achieve a higher accuracy than the PTQ (Post-Training Quantization) by using quadrats for counting individuals in a population.Quadrats are square or rectangular frames that are randomly placed in an area to sample and count the number of individuals or species present. This method provides a systematic and standardized way of collecting data.By using quadrats, the QAT can ensure that the population is adequately sampled, reducing the potential for bias and increasing the accuracy of the mark and recapture method used in ecological studies.