Data Driven Mathematical Modeling in Agriculture Tools and Technologies

OS9999

Power User
LV
5
 
Csatlakozás
2022.08.02.
Üzenetek
20,375
Reakció pontszám
299
Díjak
6
ce945acadf7f99b8728e2240f7daf733.webp

Free Download Data Driven Mathematical Modeling in Agriculture: Tools and Technologies
by Sabyasachi Pramanik

English | 2024 | ISBN: 8770041008 | 501 pages | True PDF | 29.31 MB

The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.
Technical topics discussed in the book include:
Precision agricultureMachine learningWireless sensor networksIoTDeep learning

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Code:
            
                
                
                    
                   
                    A kód megtekintéséhez jelentkezz be.
					Please log in to view the code.
                
            
        
Links are Interchangeable - Single Extraction
 
Top Alul