استفاده از تجزیه و تحلیل داده‌های بزرگ کشاورزی در اصلاح نباتات و ژنتیک برای افزایش عملکرد غذا

Angin P, Anisi MH, Göksel F, et al. (2020). Agrilora: a digital twin framework for smart agriculture. J Wireless Mobile Netw Ubiquit Comput Depend Appl 11(4), 77-96.

Camgözlü Y, Kutlu Y (2023) Leaf Image Classification Based on Pre-trained Convolutional Neural Network Models. Nat Eng Sci 8(3), 214-232.

Cravero A, Pardo S, Sepúlveda S, Muñoz L (2022) Challenges to use machine learning in agricultural big data: a systematic literature review. Agron J 12(3), 748.

Friha O, Ferrag MA, Shu L, et al. (2021) Internet of Things for the future of smart agriculture: A comprehensive survey of emerging technologies. IEEE/CAA J Autom Sinica 8(4), 718-752.

Ghotbaldini H, Mohammadabadi MR, Nezamabadi-pour H, et al. (2019) Predicting breeding value of body weight at 6-month age using Artificial Neural Networks in Kermani sheep breed. Acta Scientiarum Anim Sci 41, e45282.

Hancock JT, Khoshgoftaar TM (2020) CatBoost for big data: an interdisciplinary review. J Big Data 7(1), e94.

Hassan SM, Maji AK (2022) Plant disease identification using a novel convolutional neural network. IEEE Access 10, 5390-5401.

Kharel TP, Ashworth AJ, Owens PR, Buser M (2020) Spatially and temporally disparate data in systems agriculture: Issues and prospective solutions. Agron J 112(5), 4498-4510.

Li C, Chen Y, Shang Y (2022) A review of industrial big data for decision making in intelligent manufacturing. Engin Sci Technol Int J 29, e101021.

Liu Q, Yang F, Zhang J, et al. (2021) Application of CRISPR/Cas9 in crop quality improvement. Int J Mol Sci 22(8), e4206.

Massa OI, Karali B, Irwin SH (2024) What do we know about the value and market impact of the US Department of Agriculture reports? Appl Econ Perspect Policy 46(2), 698-736.

Mohammadabadi M, Kheyrodin H, Afanasenko V, et al. (2024) The role of artificial intelligence in genomics. Agric Biotechnol J 16 (2), 195-279.

Perdana T, Onggo BS, Sadeli AH, et al. (2022) Food supply chain management in disaster events: A systematic literature review. Int J Disaster Risk Reduct 79, e103183.

Pour Hamidi S, Mohammadabadi MR, Asadi Foozi M, Nezamabadi-pour H (2017) Prediction of breeding values for the milk production trait in Iranian Holstein cows applying artificial neural networks. J Livestock Sci Technol 5 (2), 53-61.

Shonhe L (2021) Sharing Open Data in Agriculture: A Learning Curve for Developing Countries. Open Access Implic Sustain Soc Pol Econ Dev 244-266. IGI Global.

Srinivasa Rao M, Praveen Kumar S, Srinivasa Rao K (2023) Classification of Medical Plants Based on Hybridization of Machine Learning Algorithms. Indian J Inf Sour Serv 13(2), 14-21.

Surendar A, Saravanakumar V, Sindhu S, Arvinth N (2024) A Bibliometric study of publication-citations in a range of journal articles. Indian J Inf Sour Serv 14(2), 97-103.

Veerasamy K, Fredrik ET (2023) Intelligent Farming based on Uncertainty Expert System with Butterfly Optimization Algorithm for Crop Recommendation. J Internet Serv Inf Secur 13(3), 158-169.

Zoran G, Nemanja A, Srđan B (2022) Comparative Analysis of Old-Growth Stands Janj and Lom Using Vegetation Indices. Arch Tech Sci 2(27), 57-62.