Abstract
Field efficiency of machines tells how efficient the farm machines are operating in the field. Measuring of the field efficiency used to be a tedious and laborious work which is not worth to collect for further operational optimization. The objective of this study was to develop an automatic system for monitoring the field activities and then evaluation of the field efficiency of farm machines. The system consisted of a microcontroller to collect working data including position, speed heading, and working status of the machine. The system was installed on a farm tractor with plowing disc to test on two fields with the same size, but in different traveling directions, i.e., lengthwise and crosswise. The results showed lengthwise operation yielded a higher field efficiency due to less number of turning at headlands. The proposed system allowed to collect necessary information for detailed efficiency evaluation of farm machines. This technique enables further utilization of the operational information and benefit to use in the optimization of the farm works.
Highlights
Field efficiency of agricultural machines is the ratio of actual theoretical field time to the total time spent in the field [1]
Factors affecting field efficiency are the theoretical capacity of the machine, machine maneuverability, field patterns, field shape, field size, crop yield, soil and crop conditions, and other system limitations [1]
The working paths shown in the maps are not distributed due to the accuracy of the GNSS receiver
Summary
Field efficiency of agricultural machines is the ratio of actual theoretical field time to the total time spent in the field [1]. It tells how efficient the system is due to operating pattern and field physical conditions. In actual, the machine spends time in other unproductive time elements such as turning or stopping for removing the obstructions causing to decrease the field efficiency. Factors affecting field efficiency are the theoretical capacity of the machine, machine maneuverability, field patterns, field shape, field size, crop yield (in harvesting operation), soil and crop conditions, and other system limitations [1]. In field works, many parameters are not easy to collect accurately due to their high spatial variation
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