Does the Soil Tillage Affect the Quality of the Peanut Picker?

Does the Soil Tillage Affect the Quality of the Peanut Picker?

Machine harvesting is an essential step of crop production, considering a dynamic operation, and is subject to losses due to several factors that affect its quality. The objective of this study was to evaluate the quality of mechanized peanut pickers in the three soil tillage operations using Statis...

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Bibliographic Details
Published in:Agronomy (Basel) Vol. 13; no. 4; p. 1024
Main Authors: Lopes de Brito Filho, Armando, Morlin Carneiro, Franciele, Costa Souza, Jarlyson Brunno, Luns Hatun de Almeida, Samira, Patias Lena, Bruno, Pereira da Silva, Rouverson
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-04-2023
Subjects:
Agricultural production
Arachis hypogaea L
Control charts
Crop production
Crops
Decision making
Design of experiments
Efficiency
Experimental design
Harvest
Harvesting
harvesting mechanization
impurity
Indicators
Legumes
Nut industry
Peanuts
qualitative losses
Quality control
Quality management
Rototillers
Soils
Statistical analysis
statistical process control
Statistics
Sugarcane
Tillage
Brazil
United States > US
China
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Summary:Machine harvesting is an essential step of crop production, considering a dynamic operation, and is subject to losses due to several factors that affect its quality. The objective of this study was to evaluate the quality of mechanized peanut pickers in the three soil tillage operations using Statistical Quality Control (SQC) tools. We conducted the experiments in a peanut field located at 21°20′23″ S and 47°54′06″ W of Brazilian peanut farmers. We used Statistic Control Quality (SQC) experimental design to monitor peanut losses during machine harvesting. The treatments evaluated were three soil tillage operations: conventional (CT), rotary tillers (RT), and hoe (RH). The quality indicators were collected inside the picker’s bulk tank. Statistical analyses used were descriptive statistics and SQC tools (run charts, control charts, and the Ishikawa diagram). The process was considered stable for indicators: whole pods (CT, RT, and RH), broken pods (CT, RT, and RH), and hatched pods (CT, RT, and RH), while the other indicators showed points that were out of control. With the application of SQC tools, it was possible to identify the factors that caused the increase of variability in peanut harvesting, listing the points to be improved to support decision-making, always aiming to increase this operation’s quality.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy13041024