Spray drift reduction classification evaluation provides theoretical support and technical basis for chemical precision applications. Traditional measurement of spray drift reduction relies on the wind tunnel experiment, which involves a complex testing process and a long measurement cycle. In this study, the feasibility of using a droplet size spectrum to implement drift reduction classification of flat-fan nozzles was studied. A phase doppler interferometry (PDI) was used to determine the droplet size spectra of seven types of flat-fan nozzles, including DV50, V75%, V100%, V150%, and V200%, and the calculated drift reduction classifications were compared with the measurements obtained by the wind tunnel method. The results showed that droplet-spectrum-based spray drift potential reduction classification was highly correlated with the results obtained from the wind tunnel method, with the lowest correlation coefficient being 0.969. Spray drift potential reduction classification represented by V200% shows the highest consistency with the wind tunnel measurements. This study confirms the positive potential of using droplet size spectra to estimate spray drift, and provides a method for the classification of agricultural nozzles.
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Open Access
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Open Access
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Maize (Zea mays L.) is a critical staple crop globally, integral to human consumption, food security, and agricultural product stability. The quality and purity of maize seeds, essential for hybrid seed production, are contingent upon effective detasseling. This study investigates the evolution of detasseling technologies and their application in Chinese maize hybrid seed production, with a comparative analysis against the United States. A comprehensive examination of the development and utilization of detasseling technology in Chinese maize hybrid seed production was undertaken, with a specific focus on key milestones. Data from the United States were included for comparative purposes. The analysis encompassed various detasseling methods, including manual, semi-mechanized, and cytoplasmic male sterility, as well as more recent innovations such as detasseling machines, and the emerging field of intelligent detasseling driven by unmanned aerial vehicles (UAVs), computer vision, and mechanical arms. Mechanized detasseling methods were predominantly employed by America. Despite the challenges of inflexible and occasionally overlooked, applying detasseling machines is efficient and reliable. At present, China’s detasseling operations in hybrid maize seed production are mainly carried out by manual work, which is labor-intensive and inefficient. In order to address this issue, China is dedicated to developing intelligent detasseling technology. This study emphasizes the critical role of detasseling in hybrid maize seed production. The United States has embraced mechanized detasseling. The application and development of manual and mechanized detasseling were applied later than those in the United States, but latest intelligent detasseling technologies first appeared in China. Intelligent detasseling is expected to be the future direction, ensuring the quality and efficiency of hybrid maize seed production, with implications for global food security.
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