Correlation between power harrow energy demand and tilled soil aggregate dimensions

Varani, Massimiliano; Mattetti, Michele; Molari, Giovanni; Biglia, Alessandro; Comba, Lorenzo

doi:10.1016/j.biosystemseng.2022.11.008

Cited by 9 publications

(4 citation statements)

References 42 publications

(59 reference statements)

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“…A possible solution to this issue could be the usage of a planter with integrated tillage tools, such as disk harrows, that would allow seeding without additional steps. Moreover, the adoption of the methodology proposed by Varani et al [61] when using the Rotoripper might yield optimal combinations of forward tractor speed and rotational speed of the working elements that allow good soil refinement with reasonable energy expenditure.…”

Section: Discussionmentioning

confidence: 99%

Rotary Ripper: A Possible Solution to Increase the Efficiency of Tillage Operations

Varani

Mattetti

2023

Agronomy

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Manufacturers are looking for innovative solutions to improve the sustainability of their products in terms of environmental, economic, and social issues. Many studies demonstrate that conservative tillage techniques can be more advantageous for the environment and farmer profits than conventional tillage techniques. However, conservative tillage tools have certain disadvantages, including challenging weed control and stagnation issues in humid conditions due to low soil porosity at depth. In this study, field tests were conducted comparing the performances of a conventional tillage technique, using a ripper and a rotary tiller, and the usage of an innovative rotary ripper (Rotoripper). The comparison was performed in terms of energy requirements, through data acquisition during tillage operations, tilled soil quality, through soil sieving and cone penetration tests, and ownership costs, through acquired field data and literature databases. The results indicate that increased porosity of the soil in the deepest layer and increased cost-effectiveness are the main advantages attainable with the use of the Rotoripper instead of conventional tillage equipment. However, because of the low soil segregation level achieved with the Rotoripper, additional tillage activities are required before planting.

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Section: Discussionmentioning

confidence: 99%

Rotary Ripper: A Possible Solution to Increase the Efficiency of Tillage Operations

Varani

Mattetti

2023

Agronomy

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“…In agriculture, the tractor is one of the machines that contributes significantly to climate change, as it is the main source of energy for various agricultural operations. Tillage uses about a quarter of all energy used in crop production, and currently, more than 90% of this energy comes from fossil fuels [1]. In particular, tillage operations such as ploughing or rotation are relatively long and require high fuel consumption, which contributes to accelerated climate change [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Validation of Criteria for Predicting Tractor Fuel Consumption and CO2 Emissions When Ploughing Fields of Different Shapes and Dimensions

Damanauskas,

Janulevičius

2023

AgriEngineering

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Climate change is linked to CO2 emissions, the reduction of which has become a top priority. In response to these circumstances, scientists must constantly develop new technologies that increase fuel efficiency and reduce emissions. Agriculture today is dominated by arable fields of various sizes, shapes, and dimensions, and to achieve fuel economy and environmental impact requirements, it is not enough to know only the principles of optimization of tillage processes; it is also necessary to understand the influence of field size and its shape and dimensions on tillage performance. The purpose of this research is to present a methodology that allows predicting tractor fuel demand and CO2 emissions per unit of ploughed area when ploughing field plots with different shapes and dimensions and to confirm a suitable variable for such a prediction. Theoretical calculations and experimental tests have shown that the field ploughing time efficiency coefficient is a useful metric for comparing field plots of different shapes and dimensions. This coefficient effectively describes tractor fuel consumption and CO2 emissions during ploughing operations on differently configured field plots. A reasonable method for calculating the real field ploughing time efficiency coefficient is based on field and tillage data and a practical determination method using tractor engine load reports. It was found that during the research, when ploughing six field plots of different shapes and dimensions, with an area of 6 ha, the field ploughing time efficiency coefficient varied from 0.68 to 0.82, and fuel consumption between 15.6 and 16.5 kg/ha. In the field plot of 6 ha, where the field ploughing time efficiency coefficient was 15% higher, the fuel consumption per unit area was lower by about 5.5%. The results of this study will help to effectively predict tillage time and tractor fuel consumption required for different field shapes and dimensions.

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“…Importantly, fossil fuels account for 92% of this energy supply [1][2][3][4]. Numerous studies have examined energy requirements of tractor-implement systems under different operational conditions such as working depth, speed [4][5][6][7][8], soil types, soil moisture, and compaction levels [9]. It has also been claimed that compared to tillage, the intercultural operations such as weeding require more energy [10].…”

Section: Introductionmentioning

confidence: 99%

Modelling Specific Energy Requirement for a Power-Operated Vertical Axis Rotor Type Intra-Row Weeding Tool Using Artificial Neural Network

Kumar,

Tewari,

Chandel

et al. 2023

Applied Sciences

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Specific energy prediction is critically important to enhance field performance of agricultural implements. It enables optimal utilization of tractor power, reduced inefficiencies, and identification of comprehensive inputs for designing energy-efficient implements. In this study, A 3-5-1 artificial neural network (ANN) model was developed to estimate specific energy requirement of a vertical axis rotor type intra-row weeding tool. The depth of operation in soil bed, soil cone index, and forward/implement speed ratio (u/v) were selected as the input variables. Soil bin investigations were conducted using the vertical axis rotor (RVA), interfaced with draft, torque, speed sensors, and data acquisition system to record dynamic forces employed during soil–tool interaction at ranges of different operating parameters. The depth of operation (DO) had the maximum influence on the specific energy requirement of the RVA, followed by the cone index (CI) and the u/v ratio. The developed ANN model was able to predict the specific energy requirements of RVA at high accuracies as indicated by high R2 (0.91), low RMSE (0.0197) and low MAE (0.0479). Findings highlight the potential of the ANN as an efficient technique for modeling soil–tool interactions under specific experimental conditions. Such estimations will eventually optimize and enhance the performance efficiency of agricultural implements in the field.

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Correlation between power harrow energy demand and tilled soil aggregate dimensions

Cited by 9 publications

References 42 publications

Rotary Ripper: A Possible Solution to Increase the Efficiency of Tillage Operations

Rotary Ripper: A Possible Solution to Increase the Efficiency of Tillage Operations

Validation of Criteria for Predicting Tractor Fuel Consumption and CO2 Emissions When Ploughing Fields of Different Shapes and Dimensions

Modelling Specific Energy Requirement for a Power-Operated Vertical Axis Rotor Type Intra-Row Weeding Tool Using Artificial Neural Network

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