Purpose: To identify the annual prevalence and potential risk factors of nonfatal agricultural machinery injuries among agricultural machinery operators in the northern areas of China.
Methods: A quota sampling method was used to study 1921 agricultural machinery operators in 5 provinces in northern China. Agricultural machinery injuries that occurred between July 1, 2008, and June 30, 2009 were investigated. Data on nonfatal injuries and related factors were obtained by in-person interviews.
Results: The prevalence of agricultural machinery-related injuries among the surveyed operators was 13.1%. Being male, having lower family income and/or poor hearing, being in debt, and feeling stressed were five significant risk factors for injuries. The majority of injuries took place on farmlands (46.6%), roads (26.3%), or in backyards (17.5%). The four most common causes of injuries were being stuck by starting handles that slipped, being slashed or stabbed by sharp objects, being struck by falling objects, and falls from stationary vehicles.
Conclusions: The prevalence of agricultural machinery-related injuries in our study was high. Males, low family income, poor hearing, and stress were associated with high risk of injury occurrence.
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http://dx.doi.org/10.1016/j.injury.2013.07.004 | DOI Listing |
Sci Rep
January 2025
Intelligent Agricultural Machinery Equipment Engineering Laboratory, Harbin Cambridge University, Harbin, Heilongjiang, China.
Improved soil fertility to sustain crop productivity is important to enhance agroecosystem services. To address the low nutrient content, subsoil compaction, and poor root penetration in Planosol, a new machine was designed to improve these conditions. This machine integrates subsoil mixing and fertilizer application.
View Article and Find Full Text PDFJ Sci Food Agric
January 2025
Center of Research and Innovation, Asia International University, Bukhara, Uzbekistan.
Background: Wheat-maize cropping systems in semi-arid regions are expected to be affected by climate change in the future, which is alarming for global food security, environmental sustainability and socioeconomic development. Therefore, management practices like optimized plant geometry and fertilization need to be explored to counter these expected threats. To do this, the APSIM model was calibrated using 5-year data (from 2017/2018 to 2022) regarding yield, biomass, plant height, emergence, anthesis and crop maturity of wheat and maize from farmer fields.
View Article and Find Full Text PDFCompr Rev Food Sci Food Saf
January 2025
Department of Dairy Technology, College of Dairy Science and Technology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India.
The Jerusalem artichoke (JA), a plantrelated to sunflowers and native to North America, has long been valued for its versatility, especially during periods of food scarcity. This resilient crop serves multiple purposes, functioning as a vegetable, medicinal herb, grazing crop, and even a biofuel source. In recent years, interest in JA has grown, largely due to its high nutritional profile and associated health benefits.
View Article and Find Full Text PDFChemosphere
January 2025
Department of Agricultural Machinery Engineering, University of Tehran, Iran.
Soil oil pollution is a major environmental issue, especially in oil-producing nations, as it threatens the health of plants, animals, and humans. While bioremediation has been extensively utilized as a cost-effective method for restoring oil-contaminated soil, its environmental impact has garnered relatively little attention. Researchers often concentrate on reducing pollutant concentrations below permissible limits to restore soil quality.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Laboratory of Precision Agriculture (LAP), Department of Biosystems Engineering, "Luiz de Queiroz" College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, São Paulo, Brazil.
Coffee yield exhibits plant-level variability; however, due to operational issues, especially in smaller operations, the scouting and management of coffee yields are often hindered. Thus, a cell-size approach at the field level is proposed as a simple and efficient solution to overcome these constraints. This study aimed to present the feasibility of a cell-size approach to characterize spatio-temporal coffee production based on soil and plant attributes and yield (biennial effects) and to assess strategies for enhanced soil fertilization recommendations and economic results.
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