Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning

Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Shahrin, Fariha, Zahin, Labiba, Rahman, Ramisa, Hossain, A S M Jahir
Άλλοι συγγραφείς: Azad, A.K.M Abdul Malek
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2021
Θέματα:
Agriculture
Landsat 8
Habiganj
Crop monitoring
Crop yield prediction
K-Means
Mask R-CNN
Time series model
Machine learning
Διαθέσιμο Online:http://hdl.handle.net/10361/15415

Διαδίκτυο

http://hdl.handle.net/10361/15415

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