Uhlolojikelele
I-AI isiza abashayeli bamahlathi ukuthi baqaphe udedangendlale wehlathi kusukela kumasathelayithi nama-drones, bathole imililo yequbula nezinambuzane kusenesikhathi, futhi bahlele isivuno esiqhubekayo. Kubalulekile ngoba amahlathi agcina ikhabhoni, ahlinzeka ngezingodo, kanye nezinsongo zesimo sezulu ezikhuphukayo okungenakwenzeka ukuzilandelela ngesandla.
I-AI kwezamahlathi isebenzisa i-AI ezindaweni eziqondene ngqo nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama.
I-Deep Dive
Amahlathi ahlanganisa cishe u-31% womhlaba womhlaba, kodwa akude, makhulu, futhi kunzima ukuwahlola ngezinyawo. I-AI ishintsha lokho ngokuhlaziya izithombe zesathelayithi (kusukela kumasistimu afana ne-Sentinel-2 ne-Landsat), izithombe ze-air drone, namafu ephoyinti le-LiDAR. Amamodeli abona ngekhompyutha ahlukanisa izinhlobo zezihlahla, alinganise ukuphakama kwe-canopy, ukubala iziqu, nokugawulwa kwefulegi phakathi kwezinsuku kuneminyaka. Amamodeli okufunda ngomshini aqeqeshelwe isimo sezulu, umswakama kaphethiloli, kanye nedatha yendawo abikezela ingozi yomlilo wequbula nokusabalala. Izinzwa ze-Acoustic ezimataniswe ne-AI zilalela ama-chainsaw ukuze abambe ukugawulwa kwemithi okungekho emthethweni ngesikhathi sangempela. Izinkampani nama-ejensi zisebenzisa lawa mathuluzi ukukala isitokwe sekhabhoni ezimakethe ze-offset, zandise ukuthi zizoncipha nini futhi nini noma zitshalwe kabusha, futhi zithole ukuqubuka kwebhungane lamagxolo ngaphambi kokuthi zibulale izitendi. Umphumela uba ubuhlakani behlathi obusheshayo, obushibhile, obunembe ngokwesilinganiso sendawo.
I-Technical Insight
Ipayipi elivamile lihlanganisa amabhendi esathelayithi optical ne-LiDAR, eshisa ama-laser pulses futhi aphindaphinde ukubuya kwawo ukuze akhe imodeli ye-3D ye-canopy kanye nomhlabathi. I-Convolutional neural networks ihlukanisa imiqhele yesihlahla ngasinye futhi ilinganisela i-biomass, kuyilapho amamodeli ochungechunge lwesikhathi eqhathanisa izithombe kuzo zonke izinsuku ukuze abone ukulahleka kwe-canopy kungazelelwe. Amaphikseli amafulegi we-algorithms wokubona ushintsho asuka 'ehlathini' aye 'engenalutho,' acuphe izexwayiso zokugawulwa kwamahlathi ngisho nangekhava yamafu ingxenye.
Ukufundisa i-AI kwezamahlathi
I-AI isiza abashayeli bamahlathi ukuthi baqaphe udedangendlale wehlathi kusukela kumasathelayithi nama-drones, bathole imililo yequbula nezinambuzane kusenesikhathi, futhi bahlele isivuno esiqhubekayo. Kubalulekile ngoba amahlathi agcina ikhabhoni, ahlinzeka ngezingodo, kanye nezinsongo zesimo sezulu ezikhuphukayo okungenakwenzeka ukuzilandelela ngesandla. I-AI kwezamahlathi isebenzisa i-AI ezindaweni eziqondene ngqo nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI Kwezamahlathi njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-AI Kwezamahlathi aqondisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
I-Global Forest Watch isebenzisa ukufunda komshini kudatha yesathelayithi ukuze ikhiphe izexwayiso zokugawulwa kwamahlathi eziseduze nesikhathi sangempela kohulumeni nama-NGO.
Amamodeli engcuphe yomlilo wequbula (asetshenziswa ama-ejensi afana ne-CAL FIRE) ahlanganisa uphethiloli, isimo sezulu, kanye nedatha yendawo ukuze ibikezele ukuvutha nokusabalala.
I-Rainforest Connection isebenzisa amafoni anamandla elanga anokutholwa komsindo we-AI ukuze abambe i-chainsaw engekho emthethweni nemisindo yamaloli ezindaweni ezivikelekile.
Izinkampani zamapulangwe zisebenzisa i-LiDAR efakwe i-drone kanye ne-AI ekuhlanganiseni izibalo zezihlahla, ubude, namavolumu ngezinhlelo zokuvuna nokutshala kabusha.
Amaphethini Okusebenzisa
I-AI kwezamahlathi ngokusebenza
I-Global Forest Watch isebenzisa ukufunda komshini kudatha yesathelayithi ukuze ikhiphe izexwayiso zokugawulwa kwamahlathi eziseduze nesikhathi sangempela kohulumeni nama-NGO.
I-Global Forest Watch isebenzisa ukufunda komshini kudatha yesathelayithi ukuze ikhiphe izexwayiso zokugawulwa kwamahlathi okuseduze kwesikhathi sangempela kohulumeni nama-NGO Amathimba ngokuvamile athola imiphumela engcono uma echaza imikhawulo yekhwalithi ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI kwezamahlathi ngokusebenza
Amamodeli engcuphe yomlilo wequbula (asetshenziswa ama-ejensi afana ne-CAL FIRE) ahlanganisa uphethiloli, isimo sezulu, kanye nedatha yendawo ukuze ibikezele ukuvutha nokusabalala.
Amamodeli engcuphe yomlilo wequbula (asetshenziswa ama-ejensi afana ne-CAL FIRE) ahlanganisa idatha kaphethiloli, isimo sezulu, kanye nedatha yendawo ukuze abikezele ukuvutha nokusabalalisa Amathimba ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI kwezamahlathi ngokusebenza
I-Rainforest Connection isebenzisa amafoni anamandla elanga anokutholwa komsindo we-AI ukuze abambe i-chainsaw engekho emthethweni nemisindo yamaloli ezindaweni ezivikelekile.
I-Rainforest Connection isebenzisa amafoni anamandla elanga anokutholwa komsindo we-AI ukuze abambe i-chainsaw engekho emthethweni nemisindo yamaloli ezindaweni ezivikelekile Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI kwezamahlathi ngokusebenza
Izinkampani zamapulangwe zisebenzisa i-LiDAR efakwe i-drone kanye ne-AI ekuhlanganiseni izibalo zezihlahla, ubude, namavolumu ngezinhlelo zokuvuna nokutshala kabusha.
Izinkampani zamapulangwe zisebenzisa i-LiDAR efakwe i-drone kanye ne-AI ekuhlanganiseni izibalo zezihlahla, ubude, kanye nenani lezinhlelo zokuvuna nokutshala kabusha Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.