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Machine learning

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Predictive Analysis of Occurrence of Thrips in Tomato Subject to Weather Parameters Using Machine Learning Techniques

Satish Kumar Yadav, D. Pawar, Latika Yadav, Saurabh Tripathi

Int. J. Biosci.24( 5), 96-106, May 2024.

DOI: http://dx.doi.org/10.12692/ijb/24.5.96-106

Key: Accuracy Machine learning Statistical Models Thrips Tomato Weather

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Artificial intelligence driven smart agricultural applica

Rubul Kumar Bania, Satyajit Sarmah

Int. J. Biosci.23( 5), 142-151, November 2023.

DOI: http://dx.doi.org/10.12692/ijb/23.5.142-151

Key: Agrotechnology Artificial intelligence Machine learning Smart agriculture

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A machine learning prediction of the fisheries production in the Philippines using WEKA

Rhowel M. Dellosa

Int. J. Biosci.23( 1), 162-171, July 2023.

DOI: http://dx.doi.org/10.12692/ijb/23.1.162-171

Key: Data mining Decision tree Machine learning Random Forest Regression analysis Support vector machine WEKA

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Determining the classification of dry beans using WEKA

Rhowel M. Dellosa

Int. J. Biosci.23( 1), 81-92, July 2023.

DOI: http://dx.doi.org/10.12692/ijb/23.1.81-92

Key: Data mining Decision tree K-nearest neighbor Machine learning Multilayer perceptron Support vector machine WEKA

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Crop yield estimation with irrigation system using remote sensing and machine learning, A case study of Bahawalpur and Rahimyar Khan

Sumaira Hafeez, Saira Akram, Hassan Hafeez, Waqas Ejaz, Sajid Rashid Ahmad

Int. J. Agron. Agri. Res.21( 6), 18-27, December 2022.

Key: Bahawalpur Crop yield Irrigation system Machine learning Rahimyar Khan Remote sensing

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