Mumakore achangopfuura, kuchembera kwevashandi vekurima kwakawedzera zvakanyanya, uye kuomerwa mukutora uye kudhura kwevashandi kwave kutadzisa kusimudzira indasitiri yetii. Kushandiswa kwekunhonga kwemaoko eakaunzi etii ane mukurumbira anosvika makumi matanhatu muzana evashandi vevashandi vegadheni retii rose, nepo maruva etii ane mukurumbira akatetepa, ane nzvimbo dzakasiyana dzekukura, masisitimu, uye densities, kunyanya munzvimbo. isina kurongeka nharaunda inoshanduka nemhepo uye nechiedza. Kutora muchina kwakaoma kuziva. Naizvozvo, tsvakiridzo yehungwaru yekunhonga tekinoroji uye kusarudzwa kweakakodzeramichina yekudzura tiiuyemichina yekugadzira tiizvakakosha zvikuru kusimudzira kusimukira kweindasitiri yetii yenyika yangu.

Parizvino, tsvakiridzo yemhando yepamusoro-yezita-zita rekunhonga tii kumba nekune dzimwe nyika ichangotanga, uye ichiri padanho rekufungidzira prototype kuyedzwa. Pachine zvimwe zvinonetsa mukushandisa zvinoshanda, sekuti kugadzirwa kwekurima kwazvino kune matambudziko sekusapindirana kwemichina yekurima uye agronomy, kuzivikanwa kwemabukira kukanganiswa zvakanyanya nechiedza, uye zvakaoma kugovera mifananidzo ine mamiriro akafanana uye nhungirwa. Kuenzaniswa neyechinyakare muchina kudzidza, kubuda kwemichina yebindu retiuye michina yekugadzira tii inobva panzira yekuzivikanwa kwebud uye shizha yekudzidza kwakadzama, asi inoda nhamba yakawanda yezvinyorwa zvinyorwa zvekudzidzira, uye ine kuwedzera kwekuoma kwetiweki, uye hardware system upgrades idambudziko zvakare.Nekukurumidza kukura kwe muchina kuona uye artificial intelligence tekinoroji, izvi zvinopa hwaro hwakanaka hwekutsvagisa nekuvandudza kwemichina yehungwaru yekudzura tii. Mune ramangwana, iyo yakangwara yekunhonga tii muchina uchave neanotevera maitiro ekusimudzira. Zvinetso zvazvino mukuzivikanwa kwetii bud uye kugarisana kuri mukusiyana kwetii mhando uye nharaunda inokura, iyo tei bud yekuzivisa zano pasi pezvipingamupinyi zvakapfuura, kupindira kwesimba, uye kusasimba uye kusarongeka kweiyo algorithm. Mune ramangwana, kuunganidzwa kwedata kunofanirwa kuitwa pamifananidzo yetii yemagadheni etii emhando dzakasiyana, mwaka wakasiyana wetii, mamakisi akasiyana, mavambo akasiyana, uye mamiriro akasiyana emwenje, kuitira kuti uone kuwedzera kwetii mufananidzo sampuli data seti, inopfumisa kusiyana-siyana kwemasampuli, uye gadza akawanda-siyana uye akawanda-giredhi tii buds. Leaf databases inovandudza kuwanda kwealgorithms. Mamiriro etii buds akapfava, uye echinyakare yekunhonga michina iri nyore kukonzeresa kukuvadza kumabuds.

Panguva imwecheteyo, munzvimbo ine mhirizhonga uye inofefetera yemagadheni etii, zvikanganiso zvekumisikidza uye zvikanganiso zvisina tsarukano zvinowanzoitika. Naizvozvo, thetea gadheni processing machinehaifanire kukuvadza mabuds manyoro paunenge uchishanda, uye shandisa nzira yekuripira yekukanganisa. Naizvozvo, zvinodikanwa kudzidza kuchinjika nekushivirira kukanganisa. Mhedziso inotora effector. Zvinoenderana nezvinodiwa zvemwenje, inochinjika uye yakakwirira-kumhanya-kunhonga tii manipulator, kuburikidza neyakareruka dhizaini yechimiro uye inoenderana inofamba yekudzora algorithm, iyo tei-inonga yekupedzisira-yekunhonga actuator uye yayo yekutonga system inogona kuitika. Panguva imwecheteyo, kushanda kwe-single-ended pickup actuators kwakaderera. Mune ramangwana, kuitira kuti uwedzere kuvandudza kugona kwekunhonga tii, ma-multi-terminal picking actuators uye masisitimu anobudirira ekudzora anofanirwa kugadzirwa kuti aone kugovaniswa kwebasa uye kuronga kwekufambisa kuronga kwema-multi-terminal picking actuators uye kugadzirisa kunhonga tii.