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Definition of Reference Models for Power, Mass, Working Width, and Price for Tillage Implements
- Source :
- Agriculture, Vol 11, Iss 197, p 197 (2021), Agriculture, Volume 11, Issue 3
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Farm machinery selection, operation and management directly impact crop cultivation processes and outputs. A priori quantification of technical and financial needs allows definition of proportionate distribution and management of available resources and simplification of selection process. Appropriate planning, association and adjustment of the power unit and implement are required for soil cultivation. Consideration of functional parameters of the implement, their proper estimation and operation directly impact the soil structure, productivity and return on investment. Thus, a modelling approach was implemented for the definition of possible parameter-price relations for tillage equipment. The performed analysis allowed us to investigate the main relevant parameters, quantify their impact, and elaborate forecasting models for price, power, mass and working width. The significant relevance of the technical parameters and adjustment issues were outlined for each tillage implement group. For harrows and cultivators, the dependencies between studied parameters expressed better predictive qualities, especially for price-mass relation (R² &gt<br />0.8). While for ploughs power and mass relation had a primary output (R² = 0.7). The prediction features of the models provided reliable results for the estimation of the indicative values of the price and parameters of the implements.
- Subjects :
- Cultivator
Decision making
Farm management
Harrow
Machinery price estimation
Plough
Prediction models
Tillage implements
Relation (database)
Computer science
Process (engineering)
Plant Science
010501 environmental sciences
01 natural sciences
decision making
plough
cultivator
Return on investment
tillage implements
lcsh:Agriculture (General)
Reference model
Selection (genetic algorithm)
0105 earth and related environmental sciences
Agricultural machinery
business.industry
prediction models
04 agricultural and veterinary sciences
lcsh:S1-972
Industrial engineering
Tillage
harrow
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
business
Agronomy and Crop Science
Predictive modelling
Food Science
Subjects
Details
- ISSN :
- 20770472
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Agriculture
- Accession number :
- edsair.doi.dedup.....e00e576db03e38b13c2f6e05dbbdd29e
- Full Text :
- https://doi.org/10.3390/agriculture11030197