{"id":11403,"date":"2025-03-16T21:46:47","date_gmt":"2025-03-16T20:46:47","guid":{"rendered":"https:\/\/geopard.tech\/?p=11403"},"modified":"2025-03-16T21:46:47","modified_gmt":"2025-03-16T20:46:47","slug":"kako-internet-stvari-spreminja-precizno-kmetijstvo-in-resuje-trenutne-izzive","status":"publish","type":"post","link":"https:\/\/geopard.tech\/sl\/blog\/how-iot-is-transforming-precision-agriculture-and-solving-current-challenges\/","title":{"rendered":"Kako internet stvari spreminja precizno kmetijstvo in re\u0161uje trenutne izzive?"},"content":{"rendered":"

Svetovno prebivalstvo hitro nara\u0161\u010da, ocene ka\u017eejo, da bo do leta 2050 doseglo 9,7 milijarde. Da bi nahranili vse, se mora proizvodnja hrane pove\u010dati za 60%, vendar tradicionalne kmetijske metode \u2013 ki so odvisne od zemlje, velike porabe vode in ro\u010dnega dela \u2013 komaj dohajajo.<\/p>\n

Podnebne spremembe, degradacija tal in pomanjkanje vode \u0161e poslab\u0161ujejo razmere. Na primer, samo erozija tal kmete stane 1440 milijard funtov letno zaradi izgubljene produktivnosti, medtem ko tradicionalno namakanje zaradi zastarelih praks porabi 6013 ton sladke vode.<\/p>\n

V Indiji so nepredvidljivi monsuni v zadnjem desetletju zmanj\u0161ali pridelek ri\u017ea za 151 TP3T. Ti izzivi zahtevajo nujne re\u0161itve, pametno kmetovanje \u2013 ki ga poganjata internet stvari (IoT) in aeroponika \u2013 pa ponuja re\u0161ilno bilko.<\/p>\n

Mo\u010d interneta stvari v sodobnem kmetijstvu<\/h2>\n

V sredi\u0161\u010du pametnega kmetovanja je internet stvari, omre\u017eje medsebojno povezanih naprav, ki zbirajo in delijo podatke v realnem \u010dasu. Brez\u017ei\u010dna senzorska omre\u017eja (WSN) so osrednjega pomena za ta sistem.<\/p>\n

Ta omre\u017eja uporabljajo senzorje, name\u0161\u010dene na poljih, za spremljanje vla\u017enosti tal, temperature, vla\u017enosti in ravni hranil. Senzor DHT22 na primer spremlja vla\u017enost, medtem ko senzorji TDS merijo koncentracijo hranil v vodi.<\/p>\n

Ti podatki se po\u0161iljajo v obla\u010dne platforme, kot sta ThingSpeak ali AWS IoT, z uporabo protokolov z nizko porabo energije, kot sta LoRa ali ZigBee. Ko so analizirani, lahko sistem spro\u017ei dejanja, kot sta vklop namakalnih \u010drpalk ali prilagajanje ravni gnojil.<\/p>\n

V Coimbatoreju v Indiji je projekt iz leta 2022 pokazal potencial interneta stvari. Senzorji so zaznali suha obmo\u010dja tal na poljih paradi\u017enika, kar je omogo\u010dilo ciljno namakanje, ki je zmanj\u0161alo porabo vode za 351 t\/3 ton.<\/p>\n

Podobno droni, opremljeni z multispektralnimi kamerami, skenirajo obse\u017ena polja, da bi odkrili te\u017eave, kot so oku\u017ebe s \u0161kodljivci ali pomanjkanje hranil.<\/p>\n

V \u0161tudiji iz leta 2019 so droni uporabili za odkrivanje severne listne plesni v koruznih pridelkih z natan\u010dnostjo 98%, kar je kmetom prihranilo $120 izgub na hektar. Strojno u\u010denje te sisteme \u0161e dodatno izbolj\u0161uje.<\/p>\n

Raziskovalci so modele umetne inteligence na tiso\u010dih slikah listov usposobili za diagnosticiranje bolezni, kot je pepelasta plesen, z natan\u010dnostjo 99.53%, kar kmetom omogo\u010da, da ukrepajo, preden so pridelki uni\u010deni.<\/p>\n

Aeroponika: Gojenje hrane brez zemlje<\/h2>\n

Medtem ko internet stvari optimizira tradicionalno kmetijstvo, aeroponika povsem na novo zasnuje kmetijstvo. Ta metoda goji rastline na zraku, njihove korenine pa so name\u0161\u010dene v komorah, napolnjenih z meglo, ki pr\u0161ijo vodo in hranila.<\/p>\n

Za razliko od gojenja na osnovi tal aeroponika porabi manj vode in ne uporablja pesticidov. Korenine u\u010dinkoviteje absorbirajo kisik, kar pospe\u0161uje rast.<\/p>\n

Na primer, solata, gojena aeroponsko, razvije 65% hitreje kot v zemlji, je pokazala \u0161tudija iz leta 2018.<\/p><\/blockquote>\n

Aeroponika je \u0161e posebej dragocena v mestih ali regijah s slabo zemljo. Vertikalne kmetije zlagajo rastline v stolpe in pridelajo 10-krat ve\u010d hrane na kvadratni meter kot tradicionalna polja.<\/p>\n

V Mexico Cityju je stre\u0161na aeroponska kmetija leta 2022 pridelala 3,8 kg solate na kvadratni meter \u2013 kar je trikrat ve\u010d kot pri gojenju v tleh \u2013 pri \u010demer je porabila le 10 litrov vode na kilogram.<\/p>\n

Singapursko podjetje Sky Greens gre \u0161e dlje in dnevno pridela 1 tono zelenjave v 9-metrskih stolpih, pri \u010demer porabi 951 t\/3 tone manj zemlje kot obi\u010dajne kmetije.<\/p>\n

Internet stvari dvigne aeroponiko na vi\u0161jo raven. Senzorji spremljajo koreninske komore glede vla\u017enosti, pH-ja in ravni hranil ter samodejno prilagajajo cikle meglenja.<\/p>\n

V projektu iz leta 2017 so raziskovalci avtomatizirali aeroponski sistem z uporabo Raspberry Pi, s \u010dimer so zmanj\u0161ali stro\u0161ke dela za 50%. Kmetje te sisteme nadzorujejo prek mobilnih aplikacij, kot je AgroDecisor, ki po\u0161ilja opozorila o te\u017eavah, kot je neravnovesje hranil.<\/p>\n

Izzivi, ki upo\u010dasnjujejo napredek<\/h2>\n

Kljub svojemu potencialu se internet stvari in aeroponika soo\u010data s precej\u0161njimi ovirami. Visoki stro\u0161ki so glavna ovira. Osnovna postavitev interneta stvari stane od 1.500 do 5.000, medtem ko napredni droni in senzorji zahtevajo 10.000\u201350.000 vnaprej \u2013 kar je dale\u010d previsoko za dosego malih kmetov v dr\u017eavah v razvoju. Medtem vzdr\u017eevanje vsako leto doda dodatnih 15\u201320%, kar \u0161e dodatno obremeni prora\u010dune.<\/p>\n

Problem \u0161e poslab\u0161ujejo vrzeli v povezljivosti. Pribli\u017eno 40% pode\u017eelskih obmo\u010dij nima zanesljivega interneta, kar ohromi prenos podatkov v realnem \u010dasu.<\/p>\n

V Etiopiji je pilotni projekt interneta stvari leta 2021 propadel, ko je signal 3G padel sredi polja, kar je motilo urnike namakanja. Velika so tudi varnostna tveganja. Protokoli interneta stvari, kot sta MQTT in CoAP, pogosto nimajo \u0161ifriranja, zaradi \u010desar so sistemi ranljivi za hekerje.<\/p>\n

Leta 2021 je 62% kmetijskih sistemov interneta stvari poro\u010dalo o kibernetskih napadih, vklju\u010dno s kr\u0161itvami podatkov, ki bi lahko manipulirale z od\u010ditki senzorjev ali onemogo\u010dile opremo.<\/p>\n

Tehni\u010dna kompleksnost doda \u0161e eno plast te\u017eav. Kmetje potrebujejo usposabljanje za razlago podatkov in odpravljanje te\u017eav s sistemi.<\/p>\n

Aeroponski projekt v Kolumbiji leta 2017 je propadel, ko so napa\u010dne nastavitve pH po\u0161kodovale pridelke in povzro\u010dile izgubo $12.000 sadik.<\/p>\n

Celo napajanje je te\u017eava \u2013 son\u010dni senzorji odpovejo med monsuni, droni pa zdr\u017eijo le 20\u201330 minut na polnjenje.<\/p>\n

Prihodnost kmetijstva: Inovacije na obzorju<\/h2>\n

Kljub tem izzivom je prihodnost obetavna. Omre\u017eja 5G bodo revolucionirala povezljivost in omogo\u010dila dronom spremljanje velikih kmetij v realnem \u010dasu.<\/p>\n

V Braziliji so leta 2023 v poskusnem poskusu uporabili drone, povezane z omre\u017ejem 5G, za skeniranje ve\u010d kot 400 hektarjev sojinih polj, pri \u010demer so bolezni odkrili v 10 minutah namesto v nekaj dneh. Umetna inteligenca na robu, ki podatke obdeluje neposredno na napravah, zmanj\u0161uje odvisnost od oblaka.<\/p>\n

Sistem MangoYOLO na primer \u0161teje mango z natan\u010dnostjo 91% z uporabo vgrajenih kamer, kar odpravlja zamude pri nalaganju podatkov.<\/p>\n

Tehnologija veri\u017eenja blokov je \u0161e ena prelomnica. S sledenjem pridelkom od kmetije do potro\u0161nika zagotavlja preglednost in zmanj\u0161uje goljufije.<\/p>\n

Aplikacija eFarm uporablja podatke mno\u017ei\u010dnega zbiranja za preverjanje ekolo\u0161kih certifikatov, s \u010dimer je zmanj\u0161ala goljufije za 30%. Walmartov sistem veri\u017eenja blokov je leta 2022 zmanj\u0161al napake v dobavni verigi manga za 90%.<\/p>\n

Rastlinjaki, ki jih poganja umetna inteligenca, prav tako nara\u0161\u010dajo. Ti sistemi uporabljajo modele, kot je VGG19, za spremljanje zdravja rastlin z natan\u010dnostjo 91.52%.<\/p>\n

Na Japonskem roboti, kot je AGROBOT, obirajo jagode 24 ur na dan, 7 dni v tednu, kar potroji produktivnost. Tudi urbana obmo\u010dja sprejemajo aeroponiko \u2013 berlinski Infarm goji zeli\u0161\u010da v trgovinah z \u017eivili, kar zmanj\u0161uje emisije iz prometa za 951 TP3T.<\/p>\n

Vlade in podjetja se krepijo. Indijska kmetijsko-tehnolo\u0161ka pobuda iz leta 2023 subvencionira orodja interneta stvari za 500.000 malih kmetov, Microsoftov FarmBeats pa kenijskim kmetom zagotavlja cenovno ugodne drone.<\/p>\n

Na\u010drt za uspeh<\/h2>\n

Internet stvari in aeroponika nista le orodji \u2013 sta bistvena za trajnostno prihodnost. Do leta 2030 bi lahko ti tehnologiji:<\/p>\n

    \n
  • Prihranite 1,5 bilijona litrov vode letno.<\/li>\n
  • Zmanj\u0161ati emisije toplogrednih plinov za 1,5 gigatone na leto.<\/li>\n
  • Nahraniti 2 milijardi dodatnih ljudi brez \u0161irjenja kmetijskih zemlji\u0161\u010d.<\/li>\n<\/ul>\n

    Da bi to dosegli, morajo vlade subvencionirati cenovno dostopna orodja, raz\u0161iriti dostop do interneta na pode\u017eelju in uveljavljati standarde kibernetske varnosti. Kmetje potrebujejo usposabljanje za u\u010dinkovito uporabo teh tehnologij.<\/p>\n

    Kot navaja FAO: \u201cPrihodnost hrane je odvisna od dana\u0161njih inovacij.\u201d Z uporabo interneta stvari in aeroponike lahko ustvarimo svet, kjer nih\u010de ne bo la\u010den \u2013 in kjer kmetijstvo neguje na\u0161 planet, namesto da mu \u0161koduje.<\/p>\n

    Referenca<\/strong>: Dhanasekar, S. (2025). Celovit pregled aktualnih vpra\u0161anj in napredka interneta stvari v preciznem kmetijstvu. Computer Science Review, 55, 100694.<\/p>","protected":false},"excerpt":{"rendered":"

    Svetovno prebivalstvo hitro nara\u0161\u010da, ocene ka\u017eejo, da bo do leta 2050 doseglo 9,7 milijarde. Da bi nahranili vse, se mora proizvodnja hrane pove\u010dati za 60%,\u2026<\/p>","protected":false},"author":210249433,"featured_media":11405,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1657,1377],"tags":[],"class_list":["post-11403","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-crop-monitoring"],"acf":[],"yoast_head":"\nHow IoT Is Transforming Precision Agriculture and Solving Current Challenges? - 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