Awọn ẹya
1. Ifihan si Imọye Oríkĕ ati Ijẹrisi Ijẹrisi ni Imọ-ẹrọ Agbin 2. Konge Agriculture ati igbekale ti Agricultural Data 3. Abojuto Ilera ọgbin pẹlu Satẹlaiti ati Drone: NDVI ati Awọn itọka Eweko 4. Itumọ Itupalẹ Ilẹ ati Iṣapejuwe Idaji 5. Imudara irigeson ati iṣakoso omi 6. Arun ati Ayẹwo Kokoro: Ayẹwo Aworan ati Ipinnu 7. Atilẹyin Ipinnu Ogbin pẹlu Oju-ọjọ ati Data Oju-ọjọ 8. Iṣiro Ikore ati Awoṣe Agbe 9. Agricultural Data Analysis pẹlu Python 10. Traceability, Iforukọsilẹ Agricultural ati Pq Ipese 11. Ethics, Asiri, Awọn aala ati Isopọpọ Ipari-si-opin
Ẹyọ 10 / 11

Traceability, Iforukọsilẹ Agricultural ati Pq Ipese

Awọn anfani:

  • Agbara lati ṣalaye wiwa kakiri aaye-si-orita, iforukọsilẹ pupọ ati iṣẹ-ogbin ti o dara / awọn ibeere iwe-ẹri Organic
  • Agbara lati yi awọn igbasilẹ iṣelọpọ pada, iwe ohun elo ipakokoro / ajile ati ibamu MRL sinu awọn iwe aṣẹ ti a ṣeto pẹlu AI
  • Agbara lati ṣe ọlọjẹ awọn aiṣedeede ninu awọn igbasilẹ wiwa kakiri pẹlu AI ati ṣe agbejade-ṣetan iṣayẹwo, awọn igbasilẹ idaniloju
Ti tẹlẹ Itele