Journal of Computer Science & Systems Biology

Laboratory of Plant Morphogenesis, Biological Sciences Research Laboratories, Manhattan College, Bronx, NY 10471, USA

Publications

• Review Article   
  Machine Learning Programs Predict Saguaro Cactus Death
  Author(s): Evans LS* and Johnson CR
  
  Objective: Determine if machine learning programs coupled with standard statistical methods can accurately predict rates of bark coverage and death of saguaro cactus plants. Methods: Data of twelve surfaces of 1,149 saguaro cacti with four samplings over 23 years that provided more than 55,000 data points were analyzed to predict rates of bark coverage on cactus surfaces and cactus death with three machine learning programs, Validate Model, WEKA 3.8 decision trees, and Random Forest. Results: Saguaro cacti (Carnegiea gigantea) show extensive bark coverage and cacti with extensive bark coverage die prematurely. Over the 23-year period of study, bark coverage on all surfaces was relatively constant. Decision trees are able to predict cactus death up to 96%. Three ma.. Read More»
  

  Abstract PDF