Application of Statistics for Quality and Safety in Agricultural Production
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Product Quality and Safety".
Deadline for manuscript submissions: 25 February 2026 | Viewed by 13
Special Issue Editor
Special Issue Information
Dear Colleagues,
Statistics provides essential tools for monitoring, analyzing, and decision-making in agricultural production. They help in understanding disease prevalence, optimizing resource allocation, and ensuring food safety throughout the production chain. Statistical models are used to assess disease resistance, track disease spread and evaluate the effectiveness of pest and disease control measures.
Statistical methods can optimize resource allocation and management by predicting crop yields, minimizing water waste, and determining the optimal amount and type of fertilizer. Contamination monitoring is also crucial, as it helps with monitoring levels of contaminants in food products at various stages of the production chain. Traceability systems can integrate statistical data analysis to track the origin and movement of food products, enabling faster identification and recall of potentially unsafe products.
Statistical process control techniques can identify and eliminate defects in agricultural products, improving overall quality and reducing waste. Risk assessment helps with prioritizing resources for risk reduction and prevention.
Data collection and analysis can be carried out through surveys and censuses, data from farm records and market transactions, and new technologies such as sensors, drones, and remote sensing. Statistical analysis of environmental data can help with assessing the environmental impact of agricultural practices.
By fully exploiting statistical methods, agricultural producers can enhance the quality and safety of their products, optimize resource utilization, and promote sustainable agricultural practice, while competent authorities can better monitor ongoing processes.
Prof. Dr. Stefano Barone
Guest Editor
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Keywords
- statistics in agricultural production
- statistical methods for resource allocation
- statistics for agricultural food quality and safety
- statistics for food contamination monitoring, traceability systems, and risk assessment
- statistics for sustainability and environmental monitoring in agricultural production and operations
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