Overview
AI inobatsira varimi vemasango kutarisa masango akakura kubva kumasetellite nemadrone, kuona moto wesango uye tumbuyu nekukurumidza, uye kuronga goho rinogara riripo. Izvo zvine basa nekuti masango anochengeta kabhoni, anogovera matanda, uye anotarisana nekukwira kwemamiriro ekunze kutyisidzira izvo zvisingagoneke kuteedzera nemaoko.
AI muForestry inoshandisa AI munharaunda-yakananga nharaunda umo mirau, mashandiro, uye kushivirira njodzi inogadzirisa zvakanyanya sarudzo dzekugadzira.
Deep Dive
Masango anofukidza 31% yenyika yePasi, asi ari kure, akakura, uye akaoma kuongorora netsoka. AI inoshandura iyo nekuongorora setiraiti mifananidzo (kubva kune masisitimu akaita seSentinel-2 neLandsat), mafoto emuchadenga drone, uye LiDAR point makore. Mienzaniso yekombiyuta inoronga marudzi emiti, kufungidzira kureba kwedenga, kuverenga madzinde, uye kutemwa kwemiti mukati memazuva kwete makore. Michina yekudzidza mhando dzakadzidziswa nezvemamiriro ekunze, hunyoro-hunyoro, uye data yenzvimbo inofanotaura njodzi yemoto wesango uye kupararira. Acoustic sensors akabatanidzwa neAI teerera kune maketani ekubata matanda zvisiri pamutemo munguva chaiyo. Makambani nemasangano anoshandisa maturusi aya kuyera kabhoni masheya emisika yemisika, kugadzirisa kupi uye nguva yekuonda kana kudyara, uye kuona kubuda kwebark-beetle vasati vauraya zvimire. Mhedzisiro yacho inokurumidza, yakachipa, yehungwaru hwesango hwakanyanya pachiyero chenyika.
Technical Insight
Iyo pombi yakajairwa inosanganisa mabhendi ekuona setiraiti neLiDAR, iyo inopisa laser pulses uye nguva yekudzoka kwavo kuvaka 3D modhi yecanopy nevhu. Convolutional neural network segment imwe neimwe yemiti korona uye inofungidzira biomass, nepo nguva-yakatevedzana mamodheru achienzanisa mifananidzo pamazuva kuti aone kamwe kamwe kurasikirwa kwecanopy. Shanduko-yekuona maalgorithms emureza mapixels anosimuka kubva 'kusango' kuenda 'kushama,' zvichikonzera chenjedzo dzekuparadzwa kwemasango kunyangwe nekavha yegore.
Kudzidzira AI muForestry
AI inobatsira varimi vemasango kutarisa masango akakura kubva kumasetellite nemadrone, kuona moto wesango uye tumbuyu nekukurumidza, uye kuronga goho rinogara riripo. Izvo zvine basa nekuti masango anochengeta kabhoni, anogovera matanda, uye anotarisana nekukwira kwemamiriro ekunze kutyisidzira izvo zvisingagoneke kuteedzera nemaoko. AI muForestry inoshandisa AI munharaunda-yakananga nharaunda umo mirau, mashandiro, uye kushivirira njodzi inogadzirisa zvakanyanya sarudzo dzekugadzira. Kuti uvake kunzwisisa kwakadzama, bata AI muForestry semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodikanwa, tsanangura fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa AI muForestry inonanisa kugona kwehunyanzvi nedomendi mutemo, kutarisika, uye kumberi kwekuita sarudzo. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho. Panguva imwecheteyo, Regulatory zvinodiwa zvinogona kusashanda neimwe nzira yakasimba prototypes. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho.
Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvisungo zveDomain zvinopesvedzera mwero wezvikanganiso zvinogamuchirika uye mamodheru etarisiro.
Zvisungo zveDomain zvinopesvedzera mwero wezvikanganiso zvinogamuchirika uye mamodheru etarisiro. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Kuendesa kwakabudirira kunonanisa kugona kwehunyanzvi nekumberi kwekufambiswa kwebasa.
Kuendesa kwakabudirira kunonanisa kugona kwehunyanzvi nekumberi kwekufambiswa kwebasa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Global Forest Watch inoshandisa muchina kudzidza pane setiraiti data kuburitsa pedyo-chaiyo-chaiyo-nguva yekuzivisa kuparadzwa kwemasango kuhurumende nemaNGO.
Mhando dzengozi dzemoto wemusango (dzinoshandiswa nemasangano akaita seCAL FIRE) dzinosanganisa mafuta, mamiriro ekunze, uye data renzvimbo kufanotaura kudzima nekupararira.
Rainforest Connection inoshandisa nhare dzesolar-powered neAI audio yekuona kubata zvisiri pamutemo chainsaw uye ruzha rwerori munzvimbo dzakachengetedzwa.
Makambani ematanda anoshandisa drone-yakaiswa LiDAR neAI kuverengera miti yekuverenga, kureba, uye mavhoriyamu ekukohwa nekudyara zvirongwa.
Maitiro Ekuita
AI muMasango mukuita
Global Forest Watch inoshandisa muchina kudzidza pane setiraiti data kuburitsa pedyo-chaiyo-chaiyo-nguva yekuzivisa kuparadzwa kwemasango kuhurumende nemaNGO.
Global Forest Watch inoshandisa muchina kudzidza pane setiraiti data kuburitsa pedyo-chaiyo-chaiyo-nguva yekuzivisa kutema miti kuhurumende uye maNGOs Matimu anowanzo kuwana mibairo iri nani paanotsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa mukubudirira uye kukanganisa mutengo nekufamba kwenguva.
AI muMasango mukuita
Mhando dzengozi dzemoto wemusango (dzinoshandiswa nemasangano akaita seCAL FIRE) dzinosanganisa mafuta, mamiriro ekunze, uye data renzvimbo kufanotaura kudzima nekupararira.
Wildfire-njodzi modhi (anoshandiswa nemasangano akaita seCAL MOTO) anosanganisa mafuta, mamiriro ekunze, uye data renzvimbo kufanotaura kudzima nekuparadzira Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura zvikumbaridzo zvemhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
AI muMasango mukuita
Rainforest Connection inoshandisa nhare dzesolar-powered neAI audio yekuona kubata zvisiri pamutemo chainsaw uye ruzha rwerori munzvimbo dzakachengetedzwa.
Rainforest Connection inoshandisa nhare dzesolar-powered neAI yekuona odhiyo kuti ibate zvisiri pamutemo cheni uye ruzha rwemarori munzvimbo dzakachengetedzwa Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura maburi emhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
AI muMasango mukuita
Makambani ematanda anoshandisa drone-yakaiswa LiDAR neAI kuverengera miti yekuverenga, kureba, uye mavhoriyamu ekukohwa nekudyara zvirongwa.
Makambani emapuranga anoshandisa drone-yakaiswa LiDAR uye AI kuverengera miti yekuverenga, kureba, uye mavhoriyamu ekukohwa nekudyara zvirongwa Matimu anowanzo kuwana mibairo iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvinowana goho nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Regulatory zvinodiwa zvinogona kukanganisa zvimwe zvakasimba prototypes.
Nhoroondo yenhoroondo inogona kubatanidza kurerekera kunokuvadza nharaunda dzakati.
Nhaka masisitimu anogona kugadzira mabhodhoro ekubatanidza uye mitengo yakavanzika.
Implementation Roadmap
Batanidza domain nyanzvi kubva pakugadzirisa dambudziko kusvika pakuongorora.
Batanidza domain nyanzvi kubva pakugadzirisa dambudziko kusvika pakuongorora. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Dhizaina nzira dzekuongorora uye zvinyorwa zvisati zvatanga.
Dhizaina nzira dzekuongorora uye zvinyorwa zvisati zvatanga. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Gadzirisa zvisungo zvekuteedzera uye kuchengetedza nekukurumidza.
Gadzirisa zvisungo zvekuteedzera uye kuchengetedza nekukurumidza. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Buritsa muzvikamu zvine kujeka kumira uye kudzoreredza maitiro.
Buritsa muzvikamu zvine kujeka kumira uye kudzoreredza maitiro. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.