Yini Ehlaziywa Yi-Agricultural Big Data?

I-Agricultural big data iwukusetshenziswa kwemiqondo ye-big data, ubuchwepheshe kanye nezindlela ekukhiqizweni kwezolimo, kusukela ekukhiqizweni kuya ekuthengisweni, kuzo zonke izixhumanisi zenqubo yonke, ekubonisweni okuqondile kokuhlaziywa kwedatha kanye nokumbiwa kanye nokuboniswa kwedatha. Vumela idatha "ikhulume" ukusekela nokuqondisa ukukhiqizwa okukhulu, kobungcweti nokunempilo kwezolimo. Ngokuhlanganisa izici zezolimo ngokwazo kanye nendlela yokuhlukanisa lonke uchungechunge lwemboni yezolimo, i-Agricultural big data ingahlukaniswa ngezigaba ezine: i-Agricultural resource big data, i-Agricultural production big data, i-Agricultural market kanye ne-Agricultural ephethwe yi-Big Data.

Idatha enkulu yezinsizakusebenza zezolimo ihlanganisa ikakhulukazi: abasebenzi, idatha yezinsizakusebenza zomhlaba, idatha yezinsizakusebenza zamanzi, idatha yezinsizakusebenza zezulu, idatha yezinsizakusebenza zezinto eziphilayo kanye nedatha yenhlekelele, njll. Lokhu kuhloselwe ukusiza abalimi baqonde isimo sezulu sendawo, ukuvunda kwenhlabathi kanye nezinye izici ukuze banqume ukuthi yiziphi izitshalo ezifanele ukutshalwa.

Idatha enkulu mayelana nokukhiqizwa kwezolimo ifaka phakathi idatha yokukhiqizwa kwezitshalo kanye nedatha yokukhiqizwa kwezilwane zasemanzini. Phakathi kwazo, idatha yokukhiqizwa kwezitshalo ibhekisela kakhulu kudatha ehlukahlukene yenkomba enkambisweni yokuhlwanyela izitshalo: ulwazi oluthuthukisiwe lwembewu, ulwazi lwezithombo, ulwazi lokuhlwanyela, ulwazi lwezibulala-zinambuzane, ulwazi lomanyolo, ulwazi lokunisela, ulwazi lwemishini yezolimo kanye nolwazi lwesimo sezolimo. I-HENGKO yathuthukisaUkuqapha izinga lokushisa kanye nomswakama kwe-IOTkanye nobuchwepheshe bokulawula, kungabhekana nesidingo sokuqapha amazinga okushisa nomswakama kude. Njengoba inesipiliyoni seminyaka eminingi sokukhiqiza imiyalelo yokushisa nomswakama esezingeni eliphezulu, i-HENGKO inikeza ukwesekwa okuqinile ekuqapheni amazinga okushisa nomswakama e-IOT.

Ukuhlaziywa kwezibalo kwedatha yokukhipha kungasiza ekubuyekezeni ukuhlaziywa kwemodeli yokukhipha nokulinganisa umkhiqizo wonyaka olandelayo kusengaphambili; idatha yokukhiqiza yemboni yezolimo zasemanzini ihlanganisa ikakhulukazi ulwazi lwephrofayili yesistimu yomuntu ngamunye, ulwazi lwesici somuntu ngamunye, ulwazi lwesakhiwo sokudla, ulwazi lwendawo yokuhlala, kanye nesimo sobhubhane.

Idatha yemakethe yezolimo ifaka phakathi idatha yokuhlinzekwa kanye nedatha yamanani emikhiqizo yezolimo neye-sideline ezimakethe ezahlukahlukene zokuthengisa ngobuningi. Imikhiqizo yezolimo iyathengiswa yonke, futhi awukwazi ukusekela imbewu ngaphandle kokuqonda imakethe. Imikhiqizo yezolimo iyathengiswa yonke, futhi awukwazi ukusekela imbewu ngaphandle kokuqonda imakethe. Kungokuqonda izimo zemakethe kuphela lapho ukukhiqizwa kungahlelwa ngokwesayensi, ukuze imakethe ivame ukulinganisela ukuhlinzekwa kanye nesidingo, futhi igweme ukuphakelwa ngokweqile, okuholela emikhiqizweni engathengiswa.

Idatha yokuphathwa kwezolimo ihlanganisa ikakhulukazi ulwazi oluyisisekelo ngomnotho kazwelonke, ulwazi lokukhiqiza lwasekhaya, ulwazi lwezohwebo, ukuguquguquka kwemikhiqizo yezolimo yamazwe ngamazwe, kanye nolwazi oluphuthumayo.

Ngokuthuthuka nokwakhiwa kwezolimo kanye nokusetshenziswa kwe-Intanethi Yezinto, ukusetshenziswa kwe-big data yezolimo kuye kwanda kakhulu, futhi ukuthuthukiswa kwe-big data yezolimo kuye kwaletha ithuba elikhulu.