Farm machinery indexes play important roles in agricultural mechanization and technical managements especially during the busy pick periods when timing becomes an issue. Yield variability in citrus groves as shown in the yield map depends not only on agricultural and biological variables (such as soil nutrition and property) but also driver’s and machine’s performance. These yield maps reveal the harvested mass per unit area. After data are collected, they are sent to laboratories for interpretation in order to be converted to yield table which is then used in GIS software to create yield map. This results huge number of data points in a harvesting season. A citrus yield monitoring system usually records GPS and load cell data every second or less. Yield mapping is considered as the first step in precision agriculture and its purpose is to determine variability in the field. With the available modern technologies, high tech instrumentation and computer software it is possible to measure yield more specifically. Traditionally farmers measure crop yield for whole field or for large sections. GPS systems and load cells are used widely in modern agriculture such as citrus yield monitoring.
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