Patrick D Brandt, Susi Sturzenegger Varvayanis, Tracey Baas, Amanda F Bolgioni, Janet Alder, Kimberly A Petrie, Isabel Dominguez, Abigail M Brown, C Abigail Stayart, Harinder Singh, Audra Van Wart, Christine S Chow, Ambika Mathur, Barbara M Schreiber, David A Fruman, Brent Bowden, Christopher A Wiesen, Yvonne M Golightly, Chris E Holmquist, Daniel Arneman, Joshua D Hall, Linda E Hyman, Kathleen L Gould, Roger Chalkley, Patrick J Brennwald, Rebekah L Layton
A cross-institutional analysis of the effects of broadening trainee professional development on research productivity
PLoS biology
timely prediction pathogen important key factor reduce quality yield losses wheat major crop northern part india punjab wheat face challenge different diseases study conducted two locations viz ludhiana bathinda information regarding occurrence karnal bunt 12 consecutive crop seasons 200910 202021 ludhiana district 9 crop seasons 201011 201819 bathinda district collected wheat section department plant breeding genetics punjab agricultural university pau located ludhiana study aims investigate adequacy various methods machine learning prediction karnal bunt using meteorological data different time period viz february march 15 february 15 march overall period obtained department climate change agricultural meteorology pau ludhiana intriguing outcome period different disease prediction models performed well random forest regression rf february month support vector regression svr march month svr blasso 15 february 15 march period random forest overall period surpassed performance models taylor diagram created assess effectiveness intricate models comparing various metrics root mean square error rmse root relative square error rrse correlation coefficient r relative mean absolute error mae modified dindex modified nse allows comprehensive evaluation models performance