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.
Main Authors: | Ahmed, Md. Sabbir, Tazwar, Md. Tasin, Khan, Haseen, Roy, Swadhin, Iqbal, Junaed |
---|---|
Andre forfattere: | Alam, Md. Golam Rabiul |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2021
|
Fag: | |
Online adgang: | http://hdl.handle.net/10361/15367 |
Lignende værker
-
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
af: Rayhan, Mohammad, et al.
Udgivet: (2020) -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
af: Bhattacharjee, Ruposri, et al.
Udgivet: (2024) -
Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
af: Ahmed, Sajjad
Udgivet: (2019) -
Heart disease prediction using machine learning algorithms
af: Ali, Musfiq, et al.
Udgivet: (2019) -
A machine learning approach to predict young voter enthusiasm based on non-political factors
af: Rahman, Md. Nowroz Junaed, et al.
Udgivet: (2021)