I-Australia I-LYRO Robotics, amarobhothi wokwakha wokuqalisa kanye ne-AI yemboni yezithelo nemifino emisha, esanda kuphakanyiswa U-$1.5 million ($1.07 million) ekuxhaseni ngembewu kubatshalizimali kubandakanya nomkhiqizi wemishini Toyo Kanetsu kanye nenkampani ye-agrifoodtech VC i-AgFunder.
Lokhu kulandela ukubamba iqhaza kwe-LYRO iqembu lakamuva ye-GROW Impact Accelerator, ephethwe yi-AgFunder kanye ne-agrifood ecosystem catalyst KHULA.
I-AFN uthole ithuba lokuxoxa nabasunguli be-LYRO u-Juxi Leitner (JL) kanye no-Nicole Robinson (NR) ukuze bafunde kabanzi mayelana nokuqoqwa kwemali kwenkampani yabo namarobhothi ayo apakisha umkhiqizo.
I-AFN: Iyiphi inkinga i-LYRO ezama ukuyixazulula, futhi ubuchwepheshe bakho businika kanjani isisombululo?
NR: Amaketanga amanje okunikezwa kokudla aqinile futhi ingcindezi yangaphandle iyanda. Uma kubhekwa ukuthi kunezigidigidi zamarandi zokulahleka kokudla kanye nemfucuza ngemva kokuvuna, kubaluleke kakhulu manje kunanini ngaphambili ukuthola izindlela zokuqinisa uchungechunge lokuhlinzekwa kokudla. Amarobhothi ethu anamandla okubhekana nesidingo sokwanda kwesidingo sokudla, kanye nokusebenza ngokuya kuba nzima ukuthola nokugcina ezinsizeni zokupakisha ukudla. Bangaqhubeka nokucosha nokupakisha izithelo nemifino emabhokisini noma emakhrethini, bakulungisele ukuthunyelwa ezitolo, kumakhasimende, noma kwabanye abathengisi.
I-AFN: Yini enikeza inkampani yakho umkhawulo wokuncintisana futhi iyihlukanise kwabanye abazama ukuxazulula inkinga efanayo?
JL: Isofthiwe yethu, i-LYRO Machine Intelligence, ingakwazi ukuhlonza nokufunda indlela yokukhetha nokupakisha izinhlobo ezahlukene zezithelo nemifino. Umkhiqizo omusha ungaba yizinhlobo ezahlukene zomumo, izisindo, imibala, nosayizi, okwenza kube nzima ekudaleni uhlelo olungakwazi ukucosha nokupakisha izinhlobo ezahlukene zokudla ebhokisini. Uhlelo lwethu luyakwazi ukusebenza ngokuhlukahluka okukhulu kwezithelo nemifino, okusho ukuthi i-LYRO Machine Intelligence ingasetshenziswa ukukhulisa inqubo yokupakisha yezinhlobo eziningi zokukhiqiza ezihlukene. Amarobhothi ethu angakwazi ukucosha futhi apakishe imikhiqizo ehlukahlukene, njengokwatapheya, amawolintshi, ulamula, uzucchini, ama-lime, ama-mandarin, amagilebhisi, ama-rockmelon, amakhabe oju, ukhukhamba, upelepele, ubhatata, amakhabe, amapentshisi, ama-nectarine, amaplamu, ama-apula. , amapheya, i-capsicum, i-broccoli, nejinja.
NR: Isistimu yethu iyakwazi ukuphinda isetshenziswe emisebenzini ekhona, okwenza kube lula ukuqalisa ngamarobhothi apakisha ahlakaniphile anesikhathi sokufaka esisheshayo. Uhlelo lwethu lungasetshenziswa futhi ezimbonini ezipakisha ukudla ukuze kugcwaliseke ama-oda, njengamabhokisi okudla nama-oda egrosa, okuvula inhlobonhlobo yamathuba ezimakethe eziseduze. I-LYRO iphinde inikeze amarobhothi ayo kumakhasimende asebenzisa imodeli 'yamarobhothi njengesevisi', esiza ukuhlinzeka ngezixazululo ezingabizi kakhulu emabhizinisini ngokususelwe esikhathini sonyaka kanye nevolumu yokupakisha.
I-AFN: Yiziphi ezinye zezinselelo ezinkulu zenkampani yakho kuze kube manje? Yiziphi ezinye zempumelelo enkulu?
JL: Izinselele zethu ezinkulu bekumayelana nokujwayela nokwenza kahle ubuchwepheshe bethu be-LYRO Machine Intelligence emacaleni okusetshenziswa kwezolimo. Ucezu ngalunye lwesithelo nemifino luhluke kancane, ngakho udinga ukuklama futhi usebenzise isistimu ehlakaniphile engakwazi ukuphatha zonke izinhlobo ezingase zivele epulazini. Impumelelo yethu enkulu kube yilapho sikhiphe isisombululo sethu epulazini futhi sabona umthelela omuhle owenzayo ekusebenzeni kahle kokupakishwa kwemikhiqizo kanye nemikhawulo yenzuzo yabalimi. Kube umvuzo omangalisayo ukubona ubuchwepheshe busebenza, ukwazi ukuthi amarobhothi angasiza njengamanje, esizeni, ukusiza ekwehliseni ukumosheka kokudla kanye nokuthuthukisa imisebenzi yamaphakethe ukuze kuqinisekiswe ukuthi izithelo nemifino kufinyelela kubantu lapho zisezintsha futhi zilungile. ukudla.
I-AFN: Kusho ukuthini 'umthelela' kuwena siqu, nasenhlanganweni yakho? Kungani umthelela wezenhlalo nezemvelo ubaluleke kangaka?
NR: Sifuna ukusebenzisa amarobhothi ngokuhle; ukwakha umthelela omuhle, ukuze kube ngcono ukuvikeleka kokudla ngokusebenzisa uchungechunge lokuhlinzeka. Umthelela kithi uzosho ukuthi amarobhothi ethu aphume lapho esiza abalimi, abaphathi bezindawo zokugcina izimpahla, izinkampani zokudla, nemigqa yokupakisha, ukuze imikhiqizo yabo yokudla ithathwe, ipakishwe, futhi ingene emakethe. Ngokwenza kanjalo, umthelela uzosho ukusiza ukuthola umkhiqizo omusha ngokusebenzisa i-supply chain ngokushesha ukuze abantu abaningi bajabulele imikhiqizo yokudla emisha nesezingeni eliphezulu.
JL: Umthelela kithi futhi kusho ukukwazi ukufaka isandla ngendlela eqondile ekusizeni ukunciphisa ukumoshwa kokudla, ukwandisa ukusimama, nokudala umthelela omuhle endaweni ezungezile kule nqubo. Uma kubhekwa ukuthi udoti wokudla unomthelela omkhulu ekukhiqizweni kwesisi esibamba ukushisa, sifuna ukuqinisekisa ukuthi umkhiqizo omusha awushiywa epulazini ungenayo indlela yokufinyelela kubantu abazowusebenzisa. Amarobhothi ethu aklanyelwe ukusiza ukugcina le nqubo ihamba kahle ngangokunokwenzeka, ukuze abathengi bakwazi ukuqhubeka nokujabulela zonke izithelo nemifino abayintandokazi ezitolo zabo zasendaweni.
Umthombo: https://agfundernews.com/