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Publication : agriengineering

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Academic Journal

Geographical Origin Discrimination of Aniseed (Pimpinella anisum) Based on Machine Learning Classification of Agricultural and GC-MS Parameters.

Authors : Aćimović, Milica¹ (AUTHOR); Lončar, Biljana² (AUTHOR); Šovljanski, Olja^2,3 (AUTHOR)

Source: AgriEngineering. May2026, Vol. 8 Issue 5, p194. 29p.

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Academic Journal

Comparative Evaluation of Machine Learning Algorithms for the Identification and Morphological Classification of Rice Grains.

Authors : Coronel-Reyes, Julián¹ (AUTHOR) ; Haro-Sarango, Alexander² (AUTHOR); Delgado-Vera, Carlota¹ (AUTHOR)

Source: AgriEngineering. Mar2026, Vol. 8 Issue 3, p100. 18p.

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Academic Journal

Identification of the Geographical Origins of Matcha Using Three Spectroscopic Methods and Machine Learning.

Authors : Taskaya, Meryem¹ (AUTHOR); Akiyama, Rikuto² (AUTHOR); Kanetsuna, Mai^2,3 (AUTHOR)

Source: AgriEngineering. Jan2026, Vol. 8 Issue 1, p21. 15p.

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Academic Journal

Applications of Machine Learning and Deep Learning for Foliar Nutritional Deficiency: A Systematic Review.

Authors : Soares, Cíntia Cristina¹ (AUTHOR) ; Regazzo, Jamile Raquel^1,2 (AUTHOR); Silva, Thiago Lima da¹ (AUTHOR)

Source: AgriEngineering. Mar2026, Vol. 8 Issue 3, p101. 33p.

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Academic Journal

Integrating Artificial Intelligence and Machine Learning for Sustainable Development in Agriculture and Allied Sectors of the Temperate Himalayas.

Authors : Saxena, Arnav¹ (AUTHOR); Faiq, Mir^1,2 (AUTHOR); Ghatrehsamani, Shirin^1,2 (AUTHOR)

Source: AgriEngineering. Jan2026, Vol. 8 Issue 1, p35. 26p.

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Academic Journal

Soil Nutrient Estimation from Hyperspectral Data Using FOX-Based Band Selection and Machine Learning: A Case Study in Radhapuram, Tirunelveli, India, with PRISMA Applications.

Authors : Raju, Anand¹ (AUTHOR) ; Boopathy, Sudarshini^1,2 (AUTHOR); Karthi, Nivetha¹ (AUTHOR)

Source: AgriEngineering. Dec2025, Vol. 7 Issue 12, p428. 23p.

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Academic Journal

A Machine Learning Framework for Classifying Thermal Stress in Bean Plants Using Hyperspectral Data.

Authors : Osco, Lucas Prado¹ (AUTHOR) ; Moriya, Érika Akemi Saito² (AUTHOR); de Lima, Bruna Coelho³ (AUTHOR)

Source: AgriEngineering. Nov2025, Vol. 7 Issue 11, p376. 18p.

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Academic Journal

Mapping Olive Crops (Olea europaea L.) in the Atacama Desert (Peru): An Integration of UAV-Satellite Multispectral Images and Ensemble Machine Learning Models.

Authors : Pino-Vargas, Edwin¹ (AUTHOR) ; Huayna, German^1,2 (AUTHOR); Muchica-Huamantuma, Jorge^2,3 (AUTHOR)

Source: AgriEngineering. Jan2026, Vol. 8 Issue 1, p9. 25p.

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Academic Journal

Development and Validation of an Image Dataset for Automatic Recognition of the Olive Fruit Fly (Bactrocera oleae) Using Machine Learning.

Authors : Moreno-Alcaide, Flora¹ (AUTHOR); Yousef-Yousef, Meelad^1,2 (AUTHOR); Díaz-Cabrera, Juan Manuel^1,2 (AUTHOR)

Source: AgriEngineering. Dec2025, Vol. 7 Issue 12, p422. 22p.

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Academic Journal

Machine Learning-Based Prediction of Soybean Plant Height from Agronomic Traits Across Sequential Harvests.

Authors : Oliveira, Bruno Rodrigues de¹ (AUTHOR); Sobrinho, Renato Lustosa^2,3 (AUTHOR); Ferreira, Fernando Rodrigues Trindade^3,4 (AUTHOR)

Source: AgriEngineering. Dec2025, Vol. 7 Issue 12, p408. 23p.

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فلترة النتائج

Geographical Origin Discrimination of Aniseed (Pimpinella anisum) Based on Machine Learning Classification of Agricultural and GC-MS Parameters.

Comparative Evaluation of Machine Learning Algorithms for the Identification and Morphological Classification of Rice Grains.

Identification of the Geographical Origins of Matcha Using Three Spectroscopic Methods and Machine Learning.

Applications of Machine Learning and Deep Learning for Foliar Nutritional Deficiency: A Systematic Review.

Integrating Artificial Intelligence and Machine Learning for Sustainable Development in Agriculture and Allied Sectors of the Temperate Himalayas.

Soil Nutrient Estimation from Hyperspectral Data Using FOX-Based Band Selection and Machine Learning: A Case Study in Radhapuram, Tirunelveli, India, with PRISMA Applications.

A Machine Learning Framework for Classifying Thermal Stress in Bean Plants Using Hyperspectral Data.

Mapping Olive Crops (Olea europaea L.) in the Atacama Desert (Peru): An Integration of UAV-Satellite Multispectral Images and Ensemble Machine Learning Models.

Development and Validation of an Image Dataset for Automatic Recognition of the Olive Fruit Fly (Bactrocera oleae) Using Machine Learning.

Machine Learning-Based Prediction of Soybean Plant Height from Agronomic Traits Across Sequential Harvests.

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