Merero ho tloha ho roboto ea ho sesa mobu e ka utloang maemo sebakeng sa motso ka nako ea nnete ho isa ho mehlala ea computational e ka bolelang esale pele ho hlahisa tšenyo e fumaneng chelete ea peo ho tsoa ho Bohato ba Cornell ba Temo ea DigitalLetlole le lecha la Research Innovation Fund.
Lihlopha tse robeli tse fapaneng tsa bafuputsi - ho tloha Kolecheng ea Temo le Lisaense tsa Bophelo, College of Engineering, Computing le Information Science, Cornell Tech le College of Veterinary Medicine (CVM) - li tla fumana likhau tsa lilemo tse tharo tse fihlang ho $225,000. Ho etsa kopo, lihlopha li ne li hloka ho kenyelletsa litho tsa bokaholimo ba Cornell ho tsoa bonyane likholetjheng tse peli, ho netefatsa tšebelisano-'moho ea khamphase.
"Merero ena ea lipatlisiso e emela bokhoni bo monate ba lisebelisoa tsa dijithale, joalo ka mehlala ea likhomphutha, litsamaiso tsa liroboto, bohlale ba maiketsetso le 'internet ea lintho,' ho fetola temo mohatong o mong le o mong oa tlhahiso ea lijo," ho boletse. Susan McCouch, Barbara McClintock Moprofesa oa Plant Breeding and Genetics le motsamaisi oa Cornell Initiative for Digital Agriculture (CIDA). "Litšebelisano-'moho tse fapaneng tse kang tsena li tla sutumelletsa meeli ea mahlale ho eketsa tlhahiso le ts'ebetso ea temo, le ho matlafatsa mokhoa oa ho sibolla le lits'ebetso tse sebetsang."
Sehlopha sa litho tse ka bang mashome a mararo tsa lefapha la thuto ea matsoho, molula-setulo ke Renata Ivanek, motlatsi oa moprofesa Lefapheng la Bongaka ba Baahi le Bosaense ba Tlhahlobo ho CVM, ba khethile merero e robeli ho tsoa ho litlhahiso tse 31. Lithuso tsa lichelete bakeng sa likhau li tsoa ho CIDA Research Innovation Fund le lenaneo la US Department of Agriculture Hatch Act.
Merero:
Ho ntlafatsa chai ea fragola ka li-pollinator tsa matsoalloa le liroboto: Kirstin Petersen, motlatsi oa moprofesa oa boenjiniere ba motlakase le lik'homphieutha; le Scott McArt, motlatsi oa moprofesa oa thuto ea likokoanyana. Mosebetsi oa bona o tla kopanya tlhahlobo e iketsang ea limela tse hlaha le tse laoloang ka ho tsamaisa peo ea liroboto, ho rala motheo bakeng sa sistimi e nyalisitsoeng ea baeloji e ka bonang, ea lepa le ho ntlafatsa chai ea lijalo. Bafuputsi ba tla hlahisa maraba a lik'hamera tsa likokoanyana tse tšoarellang le tse tlaase, ba sebelise li-drones bakeng sa ho tsamaisa peō e potlakileng le ho etsa mehlala ea kholo e ka fetisetsoang ho sehoai ka app ea inthaneteng.
Liroboto tse ncha tsa mobu le sensing bakeng sa phenotyping ea metso ea mobu ea katleho ea tšebeliso ea metsi: Taryn Bauerle, motlatsi oa moprofesa Sekolong sa Saense e Kopanetsoeng ea Semela (SIPS); Robert Shepherd, motlatsi oa moprofesa Sekolong sa Sibley sa Mechanical le Aerospace Engineering (MAE); Mike Gore, Liberty Hyde Bailey Moprofesa le motlatsi oa moprofesa oa tlhahiso ea limolek'hule le liphatsa tsa lefutso ho SIP; Johannes Lehmann, moprofesa oa mahlale a mobu le lijalo ho SPS; le Abraham Stroock, William C. Hooey Director le Gordon L. Dibble, moprofesa oa Chemical le Biomolecular Engineering. Ho fumana boitsebiso ba nako ea sebele mabapi le ho fumaneha le ho phalla ha metsi mobung o potolohileng metso ea limela, bafuputsi ba tla hlahisa leano la ho lemoha le roboto ea ho sesa mobu ho hlahloba sebaka sa metso ka mokhoa o ikemetseng.
Mehlala ea khomphutha e nang le tsebo ea Microbiome le lisebelisoa tsa ts'ehetso ea liqeto ho bolela esale pele ho senyeha ha lihlahisoa tse ncha: spinach e le mokhoa oa mohlala: Martin Wiedmann, Moprofesara oa Lelapa la Gellert oa Polokeho ea Lijo; le Ivanek. Bafuputsi ba tla etsa mohlala oa computational oa litšebelisano tsa microbiome le likhohlano nakong ea ts'ebetso, lipalangoang le mabenkele ho bolela esale pele bophelo ba sethala sa spinach e ncha.
Litlhahlobo tse potlakileng le tse ikemetseng tsa khatello ea maikutlo lirapeng tsa lifate tsa apole: Awais Khan, motlatsi oa moprofesa ho SIP ho Cornell AgriTech; Serge Belongie, moprofesa oa saense ea k'homphieutha Cornell Tech; le Noah Snavely, motlatsi oa moprofesa oa saense ea khomphutha Cornell Tech. Ho kopanya tsebo ea limela, phenotyping le pono ea k'homphieutha, sehlopha se tla etsa li-datasets tsa mafu a litsebi bakeng sa liapole, ho etella pele tlhōlisano ea phephetso ea lefats'e ho fumana litharollo tse ncha tsa ho khetholla mafu le palo, ho hlahisa mekhoa ea pono ea k'homphieutha ho khetholla ka nepo pakeng tsa matšoao a batho ba bangata. mafu, le ho ntshetsa pele ditiriso tse bonolo ho mosebedisi ho tšehetsa balemi ba liapole.
Temo ea Carbon: Ho kopanya bohlale ba mochini, lintlha tse kholo le mefuta ea ts'ebetso ho ts'ehetsa lekala lena le hlahang: Lehmann le Fengqi You, Roxanne E. le Michael J. Zak Moprofesa oa Energy Systems Engineering Sekolong sa Smith sa Chemical and Biomolecular Engineering. Morero ona o ikemiselitse ho ntlafatsa ponelopele e nepahetseng ea carbon organic carbon ka ho kopanya mokhoa oa ho etsa mohlala oa mobu ka ho ithuta ka mochini, ho ithuta ka botebo le data e kholo ho theha sethala sa ho tsamaisa leano le thehiloeng ho matsete molemong oa bophelo bo botle ba mobu le ho fokotsa phetoho ea maemo a leholimo.
Sethala sa phenotyping se lebisitsoeng ho ts'ebetso se phahameng sa ho hlahisa likamano tsa liphatsa tsa lefutso ho rhizomicrobiome bakeng sa ho khothaletsa tšebeliso ea limatlafatsi tsa semela: April Gu, moprofesa oa boenjiniere ba sechaba le tikoloho; Jenny Kao-Kniffin, motlatsi oa moprofesa ho SIP; le Kilian Weinberger, motlatsi oa moprofesa oa saense ea khomphutha. Bafuputsi ba tla hlahisa sethala sa theknoloji sa phenotyping-genotyping se tla ba nolofalletsa ho haha setsi sa lefats'e sa phenotyping sa temo Cornell, e le ho fumana le ho hlahisa likokoana-hloko tse ncha tse molemo ho lijalo.
Scalable digital sensors of the sky and soils: Inthanete ea lintho e atamela ho ntlafatsa ponelopele ea boemo ba leholimo ba boemo ba leholimo ba mocheso o feteletseng, komello le pula: Toby Ault, motlatsi oa moprofesa oa lefats'e le saense ea atmosfere; le Max Zhang, motlatsi oa moprofesa oa MAE. Ka ho sebelisa marang-rang a teng, a se nang mohala oa lintho, bafuputsi ba tla shebella le ho bolela esale pele mefuta-futa ea bohlokoa bakeng sa ho bolela esale pele boemo bo feteletseng ba boemo ba leholimo boemong ba naha, seterekeng le polasing ho fana ka bahlahisi ba lijo ka lisebelisoa tsa lisebelisoa tsa ho bolela esale pele likotsi.
Nts'etsopele ea mefuta e boletsoeng esale pele ea ho lemoha ka nepo mastitis e tlase le ea bongaka likhomong tsa lebese tse hanngoeng ka sistimi e ikatisang ea lebese: Rick Watters, motlatsi e moholo oa katoloso ho CVM le motsamaisi oa Litšebeletso tsa Tlhahiso ea Lebese la Boleng ba Laboratori ea Bophirimela; le Kristan Reed, motlatsi oa moprofesa oa saense ea liphoofolo. Ka ho sebelisa lintlha tse kang tlhahiso ea lebese, nako ea ho hama le nako pakeng tsa maeto a ho hama, bafuputsi ba tla hlahisa algorithm ho bolela esale pele mastitis ho likhomo tsa lebese.
- Melanie Lefkowitz, Univesithi ea Cornell
Merero ho tloha ho roboto ea ho sesa mobu e ka utloang maemo sebakeng sa motso ka nako ea nnete ho isa ho mehlala ea khomphutha e ka nohang tlhahiso ea tšenyo e fumanoeng licheleteng tsa peo ho tsoa ho Cornell Initiative for Digital Agriculture's New Research Innovation Fund. Ka holimo, sefofane sa sefofane sa Musgrave Research Farm, se isoa tšimong ke liithuti tsa laborateng ea Moprofesa Micheal Gore. Senepe: Allison Usage