Alexa Asson, Joni K Roberts
Comprehensive Sexual Health Educational Learning Modules for College Students
Health promotion practice
concerns methane ch4 emissions rice staple sustaining 35 billion people globally heightened due status secondlargest contributor greenhouse gases driving climate change accurate quantification ch4 emissions rice fields crucial understanding gas concentrations leveraging technological advancements present groundbreaking solution integrates machine learning remote sensing data challenging traditional closed chamber methods achieve methodology involves extensive data collection using drones equipped micasense altum camera ground sensors effectively reducing reliance laborintensive costly field sampling experimental project research delves intricate relationship environmental variables soil conditions weather patterns ch4 emissions achieved remarkable results utilizing unmanned aerial vehicles uav evaluating 20 regression models emphasizing r2 value 098 095 training testing data respectively outcome designates random forest regressor suitable model superior predictive capabilities notably phosphorus grvi median cumulative soil water temperature emerged models fittest variables predicting values findings underscore innovative costeffective efficient alternative quantifying ch4 emissions marking significant advancement technologydriven approach evaluating rice growth parameters vegetation indices providing valuable insights advancing gas emissions studies rice paddies