Agricultural yield and profit prediction using data analysis techniques
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Prif Awduron: | Hassan, Fazal Mahmud, Zakir, Shamma Binta, Binta, Anik Shamma, Hossain, Syed Maruf |
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Awduron Eraill: | Arif, Hossain |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
2019
|
Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/11449 |
Eitemau Tebyg
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A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
gan: Islam, Tanhim, et al.
Cyhoeddwyd: (2018) -
Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
gan: Ahmed, Md. Sabbir, et al.
Cyhoeddwyd: (2021) -
Intelligent agricultural information monitoring using data mining techniques
gan: Shakoor, Md. Tahmid, et al.
Cyhoeddwyd: (2017) -
Agriculture in Bangladesh : performance, problems, and prospects /
gan: Hossain, Mosharaff
Cyhoeddwyd: (1991) -
Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
gan: Shahrin, Fariha, et al.
Cyhoeddwyd: (2021)