Definition of Reference Models for Power, Mass, Working Width, and Price for Tillage Implements

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 > 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.

Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy

“…Based on this, a linear model was fitted plotting price and data volume (Figure 6), returning the function showed in Equation (2). The definition of a price model to estimate agricultural tools is widely applied to estimate the profitability of agricultural practices [58]. According to the PCA and regression analysis results, the raw satellite price per hectare was primarily influenced by data volume per hectare, calculated according to Equation (1).…”

“…estimate the profitability of agricultural practices [58]. According to the PCA and regression analysis results, the raw satellite price per hectare was primarily influenced by data volume per hectare, calculated according to Equation (1).…”

Applications of Discrete Element Method in the Research of Agricultural Machinery: A Review

“…In order to improve the operation performance and efficiency of agricultural machines and satisfy the production requirements of modern agriculture, it is necessary to upgrade, update, design, and optimize agricultural machines and their components [1,2]. Theoretical analysis, numerical calculation, and experiment are the three most commonly used approaches in the design and optimization process [3].…”

3D finite element analysis of tine cultivator and soil deformation

“…To overcome this problem, specific type of shovel could be used in specific type (and condition) of soil (Šařec and Šařec 2015;Askari et al 2017). Furthermore, for effective tillage, design and selection of tillage tool (shovel) according to soil type and condition is very important (Yezekyan et al 2021). Research in this area has significant importance.…”