MABHUKU EINDUSTRIES

AI muForestry

AI inobatsira varimi vemasango kutarisa masango akakura kubva kumasetellite nemadrone, kuona moto wemusango uye tupukanana nekukurumidza, uye kuronga kukohwa kwakasimba.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reAI muMasango
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

Izvo zvine basa nekuti masango anochengeta kabhoni, anogovera matanda, uye anotarisana nekukwira kwemamiriro ekunze kutyisidzira izvo zvisingagone kuteedzera nemaoko.

Kudzika Kwakadzika

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.

Kuitwa muNyika yeChokwadi

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.

Ramangwana reAI muMasango

Tarisira pedyo-chaiyo-chaiyo-chaiyo-nguva yepasirese sango yekutarisa sezvo setiraiti yekudzokorora nguva inoderera kune zuva nezuva uye paboard AI inogadzirisa mifananidzo isati yasvika pasi. Digital mapatya emasango anotevedzera kukura, moto, uye kukohwa makumi emakore ari mberi. Autonomous drones uye marobhoti anogona kubata nemazvo kudyara uye kusarudza kutetepa. Sezvo misika yekabhoni ichikura, kuyerwa kweAI-yakasimbiswa, kushuma, uye verification (MRV) inove musana wakavimbika wekuratidza kuti sango rinochengeta kabhoni yarinoti.

Kuzvishandisa

Nei zvichikosha

  • Mamiriro ezvinhu nemitemo. Mamiriro eindasitiri anosarudza kana mazano eAI achirarama nekusangana neicho chaicho.
  • Kudzora kwemhando yepamusoro. Zvisungo zveDomain zvinopesvedzera mwero wezvikanganiso zvinogamuchirika uye mamodheru etarisiro.
  • Vaka sarudzo. Kuendesa kwakabudirira kunonanisa kugona kwehunyanzvi nekumberi kwekufambiswa kwebasa.

Chenjera

  • Regulatory zvinodiwa zvinogona kukanganisa zvimwe zvakasimba prototypes.
  • Nhoroondo yenhoroondo inogona kubatanidza kurerekera kunokuvadza nharaunda dzakati.
  • Nhaka masisitimu anogona kugadzira mabhodhoro ekubatanidza uye mitengo yakavanzika.

Matanho anotevera

  1. Batanidza domain nyanzvi kubva pakugadzirisa dambudziko kusvika pakuongorora.
  2. Dhizaina nzira dzekuongorora uye zvinyorwa zvisati zvatanga.
  3. Gadzirisa zvisungo zvekuteedzera uye kuchengetedza nekukurumidza.
  4. Buritsa muzvikamu zvine kujeka kumira uye kudzoreredza maitiro.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the AI in Forestry quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

Chii chinonzi 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 zvisingagone kuteedzera nemaoko.

Chii chinoyeresa LiDAR kunyanya kubatsira mepu masango?

LiDAR inopisa laser pulses uye inoyera kuti vanotora nguva yakareba sei kudzoka, ichigadzira 3D point gore recanopy kureba uye pasi pevhu.

How do satellite-based GLAD alerts identify possible new deforestation?

Global Forest Watch documents that GLAD compares recent satellite imagery with historical data to flag possible canopy disturbance; alerts require follow-up because other disturbances and false alerts can occur.

What does Rainforest Connection’s Guardian system analyze to detect illegal logging activity?

Rainforest Connection and its USAID impact assessment describe Guardian systems using AI to identify acoustic chainsaw patterns and send alerts for ranger review.

Which inputs did a U.S. Forest Service fire-spread study use with machine learning?

A Forest Service study modeled daily burned-area progression using weather, hydroclimate, fuels, and topography.

Zvinenge kuti inyika yakawanda sei yePasi yakafukidzwa nemasango?

Masango anovhara angangoita 31% yenzvimbo yepasirese, zvichiita kuti kure kure kwakakosha pakutarisa yakakura kudaro sosi.