Advanced Technologies and Artificial Intelligence in Agriculture.
- Published in:
- AppliedMath, 2023, v. 3, n. 4, p. 799, doi. 10.3390/appliedmath3040043
- By:
- Publication type:
- Article
Works matching DE "ARTIFICIAL intelligence in agriculture"
Results: 17
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Artificial Neural Network Modeling of Osmotic Dehydration Mass Transfer Kinetics of Fruits.
- Published in:
- Drying Technology, 2007, v. 25, n. 1, p. 85, doi. 10.1080/07373930601160882
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- Publication type:
- Article
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ARTIFICIAL INTELLIGENCE (AI): ITS ROLE IN AGRICULTURE.
- Published in:
- Plant Archives (09725210), 2024, v. 24, n. 2, p. 1357, doi. 10.51470/PLANTARCHIVES.2024.v24.no.2.190
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- Publication type:
- Article
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Τεχνητή Νοημοσύνη και «έξυπνη» γεωργία: Αριστοτελικές αρχές για την πράσινη μετάβαση: Η Τεχνητή Νοημοσύνη ως σύμμαχος και εργαλείο.
- Published in:
- Days of Art in Greece, 2024, n. 18, p. 76
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- Publication type:
- Article
5
THE FUTURE OF FARMING: ARTIFICIAL INTELLIGENCE AND AGRICULTURE.
- Published in:
- Harvard International Review, 2020, v. 41, n. 1, p. 45
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- Publication type:
- Article
6
Seeds : What Happened in 2023?
- Published in:
- 2024
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- Publication type:
- Editorial
7
Potato Leaf Insight: An AI-Driven System for Detection of Potato Leaf Disease.
- Published in:
- Current Agriculture Research Journal, 2024, v. 12, n. 3, p. 1135, doi. 10.12944/CARJ.12.3.09
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- Publication type:
- Article
8
Perspectives on Artificial Intelligence in Agriculture.
- Published in:
- Current Agriculture Research Journal, 2024, v. 12, n. 1, p. 10, doi. 10.12944/CARJ.12.1.03
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- Publication type:
- Article
9
Intelektuālo tehnoloģiju attīstība patērētāju aizsardzībai.
- Published in:
- Economic Science for Rural Development Conference Proceedings, 2008, n. 15, p. 156
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- Publication type:
- Article
10
Estimation of Wind Drift and Evaporation Losses from Sprinkler Irrigation systemS by Different Data‐Driven Methods.
- Published in:
- Irrigation & Drainage, 2018, v. 67, n. 2, p. 222, doi. 10.1002/ird.2182
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- Publication type:
- Article
11
CLASSIFICATION OF MAIZE GROWTH STAGES USING DEEP NEURAL NETWORKS WITH VOTING CLASSIFIER.
- Published in:
- Machine Graphics & Vision, 2024, v. 33, n. 3/4, p. 29, doi. 10.22630/MGV.2024.33.3.2
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- Publication type:
- Article
12
Old McDonald Had a Farm: 01000101 01001001 01000101 01001001 01001111: Ecoscenography for an Intractable Future Past.
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- Canadian Theatre Review, 2025, v. 201, p. 38, doi. 10.3138/ctr.201.010
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- Publication type:
- Article
13
Remote Control of Greenhouse Vegetable Production with Artificial Intelligence—Greenhouse Climate, Irrigation, and Crop Production.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 8, p. 1807, doi. 10.3390/s19081807
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- Publication type:
- Article
14
Comprehensive Survey on Applications of Internet of Things, Machine Learning and Artificial Intelligence in Precision Agriculture.
- Published in:
- Tanzania Journal of Engineering & Technology, 2023, v. 42, n. 4, p. 30, doi. 10.52339/tjet.v42i4.922
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- Publication type:
- Article
15
Assessment of a 4-input artificial neural network for ET estimation through data set scanning procedures.
- Published in:
- Irrigation Science, 2011, v. 29, n. 3, p. 181, doi. 10.1007/s00271-010-0224-6
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- Publication type:
- Article
16
Research fronts of agriculture in 2023.
- Published in:
- Frontiers of Agricultural Science & Engineering, 2024, v. 11, n. 2, p. 347, doi. 10.15302/J-FASE-2024568
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- Publication type:
- Article
17
Advancements in farming and related activities with the help of artificial intelligence: a review.
- Published in:
- Environment Conservation Journal, 2021, v. 22, p. 55, doi. 10.36953/ECJ.2021.SE.2206
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- Publication type:
- Article