Ufuk Avrupa · Horizon Europe (HORIZON)
AI supporting informed advice for farmers and foresters to improve competitiveness and sustainability
Çağrı özeti
Resmi metinden, ilk bölüm
Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: innovative AI-based solutions provide advisors, farmers and foresters with comprehensive, tailored and impartial advice to farmers and foresters to support them in their decisions as well as on the selection of innovative solutions, boosting the competitiveness, sustainability and resilience of the EU agriculture and forestry sectors; capacity and skills of advisors, farmers, and foresters related to the effective use of AI solutions are improved; use of existing and new data relevant for the decision-making for the optimized management of operations and the selection of innovative solutions on farms and in forests is increased. Scope: Digital technologies hold the potential to revolutionise farming and forestry, offering new opportunities to meet the rising demand for food, as well as… devamı
Agriculture related to crop production, soil biology and cultivation, applied plant biologyAgriculture, Rural Development, FisheriesArtificial Intelligence & Decision supportArtificial intelligence, intelligent systems, multi agent systemsDigital dataDigital skillsForestryInteraction, Multimodal, Brain-Computer-Interfaces, Assistive TechnologiesStart-up companiesAdviceAdvisorsAdvisory servicesArtificial intelligenceBiomassClimateData Retrieval
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%69METİN TUNAY
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%68ALİ DURKAYA
Ortak konular: Forest ecology and management · Forest Management and Policy · Forest Biomass Utilization and Management · Agricultural and Rural Development Research
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%68BİRSEN DURKAYA
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%67EROL İMREN
Ortak konular: Agricultural and Rural Development Research · Forest ecology and management
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%67İSMET DAŞDEMİR
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%65YILMAZ TÜRK
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%61EMRE TUNCA
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%59AHMET SALİH DEĞERMENCİ
Ortak konular: Forest ecology and management · Forest Management and Policy · Agricultural and Rural Development Research
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%59YASİN ÇİÇEK
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%58BURAK SALTUK
Ortak konular: Agricultural and Rural Development Research
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%57AYHAN İSTANBULLU
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%57BURHAN ÖZKAN
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%57ERSİN GÜNGÖR
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%57VOLKAN HACISÜLEYMAN
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%56ASLI ÖZDARICI OK
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%56CANER BALIM
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%56CİHAT GEDİK
Ortak konular: Smart Agriculture and AI · Remote Sensing in Agriculture · Agricultural Engineering and Mechanization
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%56FİDAN ŞEVVAL BULUT
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%56GÖKSEL ARMAĞAN
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%56KUTALMIŞ TURHAL
Ortak konular: Smart Agriculture and AI · Agricultural and Rural Development Research
Örtüşen yayınlar: Correlation Analyses of Herbage Yield and Quality Components in Certain Sorghum × Sudangrass (Sorghum bicolor L.×Sorghumsudanense Staph.) Hybrid Cultivars (2018)
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%56YAŞAR SELMAN GÜLTEKİN
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%56İLYAS BOLAT
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Örtüşen yayınlar: Changes in Soil Microbial Biomass and Activity under Different Land-Use Types in Bartın, Northwestern Türkiye (2023) · Comparison of Canopy–Vegetation Parameters from Interior Parts to Edge of Multi-Story Grove Forest Patch and Meadow Field Within Rural Landscape for Soil Temperature and Moisture (2025)
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%55CEMALETTİN AKDOĞAN
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Örtüşen yayınlar: Design and implementation of an AI-controlled spraying drone for agricultural applications using advanced image preprocessing techniques (2024)
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%55ERDAL BAŞARAN
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%55ESİN DERİ
Ortak konular: Agricultural and Rural Development Research
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%55GÜLŞEN AYDIN KESKİN
Ortak konular: Agricultural and Rural Development Research
Örtüşen yayınlar: An extensive and systematic literature review for hybrid flowshop scheduling problems (2022) · Predicting hospital admissions for upper respiratory tract complaints: An artificial neural network approach integrating air pollution and meteorological factors (2024)
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%54AHMET ÇELİK
Ortak konular: Agricultural and Rural Development Research
Örtüşen yayınlar: Modeling FAO Land Suitability Assessment for Wheat Cultivation in Semi-Arid Environments Using Fuzzy Logic and GIS Based Approach (2026) · COST OF RAISING SOIL ORGANIC CARBON FOR A QUARTER-CENTURY IN A SEMI-ARID TURKISH PLAIN: HARRAN PLAIN (2022)
Uyum oranı kodla, her istekte hesaplanır. Çağrı metni (başlık, anahtar kelimeler, resmi açıklamanın başı) şu üç kaynakla karşılaştırılır: akademisyen profiliyle anlamsal yakınlık (%50), YÖKSİS anahtar kelimeleri ve OpenAlex konularındaki ortak ayırt edici terimler (%25) ve yayın içeriği — başlıklar, İngilizce özetler ve bunların Türkçe çevirileri (%25). Çeviriler sayesinde Türkçe çağrılar İngilizce yayınlarla da eşleşir. Yaygın kelimeler düşük ağırlıklıdır; %40 altı gösterilmez. Bir konu önerisidir; başvuru uygunluğu, kapasite ya da başarı değerlendirmesi değildir. Gizli profiller listelenmez.