|
Title:
|
INNOVATION AND KNOWLEDGE MANAGEMENT
IN PRECISION FARMING |
|
Author(s):
|
Natalia Bakhtadze, Evgeny Maximov, Danila Donchan, Lamara Kozlovskaya and Natalia Maximova |
|
ISBN:
|
978-989-8533-87-6 |
|
Editors:
|
Miguel Baptista Nunes, Pedro Isaías, Philip Powell, Pascal Ravesteijn and Guido Ongena |
|
Year:
|
2019 |
|
Edition:
|
Single |
|
Keywords:
|
Precision Farming, Soft Sensors, Predictive Models, Knowledge Management |
|
Type:
|
Short Paper |
|
First Page:
|
265 |
|
Last Page:
|
270 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
This paper is devoted to the development of information systems for precision farming, which make it possible to use
fertilizer and fuel more efficiently on the basis of information technologies and intelligent predictive models, which
reduces the cost of production and increases the efficiency of agricultural production. In addition, a long-term agronomic
and ecological effect can be achieved due to more careful tillage and reduced use of nitrogen fertilizers.
Description of the creating a knowledge base and models of grain yield depending on the mode of mineral fertilizer
application based on intelligent associative search algorithms describes. |
|
|
|
|
|
|
