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Achievements and Perspectives in Precision Agriculture with the Multi-Crop Seed Sensing Module

. Basim Ullah & Izhar Ul Haq


Abstract

This research investigates the field of precision agriculture, where the utilization of innovative techniques significantly enhances planting efficiency and agricultural yield. The primary objective of this study is to investigate the conceptualization, creation, and assessment of a comprehensive seed-counting mechanism incorporated within agricultural equipment. A comprehensive set of carefully conducted experiments was carried out, involving adjustments in key factors like power take-off (PTO) RPM, tractor RPM, and seed size. The results emphasize the crucial significance of the design, namely the dimensions of the apertures in the counting disk, which have been identified as a significant determinant of counting precision. Furthermore, the experiments shed light on the importance of obtaining sensors of superior quality to guarantee accurate seed detection, thereby underscoring the integration of mechanical and electronic elements in contemporary precision agriculture. Furthermore, the experiments revealed the significance of maintaining constant system conditions, as intermittent vacuum dips were detected. This study also demonstrates the possibility of improving performance by novel cover alterations, offering practical insights for optimizing systems. In general, the research is consistent with the existing body of literature that highlights the transformative capacity of technology in contemporary agricultural methods. It provides a captivating preview of the potential future developments in precision agriculture. The seed counting system, as described in this research, is a promising innovation with the potential to revolutionize agricultural planting and enhance resource efficiency. This improvement has significant implications for the sustainability of agriculture.

Index Terms- Precision agriculture, seed counting system, design, trial evaluation, sensor quality, vacuum fluctuations, optimization, resource efficiency, sustainability.

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