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.
| Autori principali: | Hassan, Fazal Mahmud, Zakir, Shamma Binta, Binta, Anik Shamma, Hossain, Syed Maruf |
|---|---|
| Altri autori: | Arif, Hossain |
| Natura: | Tesi |
| Lingua: | English |
| Pubblicazione: |
2019
|
| Soggetti: | |
| Accesso online: | http://hdl.handle.net/10361/11449 |
Documenti analoghi
-
A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
di: Islam, Tanhim, et al.
Pubblicazione: (2018) -
Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
di: Ahmed, Md. Sabbir, et al.
Pubblicazione: (2021) -
Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
di: Shahrin, Fariha, et al.
Pubblicazione: (2021) -
Intelligent agricultural information monitoring using data mining techniques
di: Shakoor, Md. Tahmid, et al.
Pubblicazione: (2017) -
Agriculture in Bangladesh : performance, problems, and prospects /
di: Hossain, Mosharaff
Pubblicazione: (1991)