A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
मुख्य लेखकों: | Islam, Tanhim, Chisty, Tanjir Alam, Roy, Prova |
---|---|
अन्य लेखक: | Chakrabarty, Amitabha |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
BRAC University
2018
|
विषय: | |
ऑनलाइन पहुंच: | http://hdl.handle.net/10361/10938 |
समान संसाधन
-
Crop prediction based on geographical and climatic data using machine learning and deep learning
द्वारा: Alif, Al Amin, और अन्य
प्रकाशित: (2019) -
Agricultural analysis and crop yield prediction of Habiganj using multispectral bands of satellite imagery with machine learning
द्वारा: Shahrin, Fariha, और अन्य
प्रकाशित: (2021) -
Constraints to high yields on Asian rice farms : an interim report.
प्रकाशित: (1977) -
Implementing A.I based solutions to understand & predict consumer sentiment
द्वारा: Bin Ahmed, Omar
प्रकाशित: (2023) -
Agricultural yield and profit prediction using data analysis techniques
द्वारा: Hassan, Fazal Mahmud, और अन्य
प्रकाशित: (2019)