Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Autori principali: | Ahmed, Md. Sabbir, Tazwar, Md. Tasin, Khan, Haseen, Roy, Swadhin, Iqbal, Junaed |
---|---|
Altri autori: | Alam, Md. Golam Rabiul |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2021
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/15367 |
Documenti analoghi
-
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
di: Rayhan, Mohammad, et al.
Pubblicazione: (2020) -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
di: Bhattacharjee, Ruposri, et al.
Pubblicazione: (2024) -
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
di: Ahmed, Sajjad
Pubblicazione: (2019) -
Heart disease prediction using machine learning algorithms
di: Ali, Musfiq, et al.
Pubblicazione: (2019) -
A machine learning approach to predict young voter enthusiasm based on non-political factors
di: Rahman, Md. Nowroz Junaed, et al.
Pubblicazione: (2021)