Thesis (M. Sc.) (Research) Systems Agriculture-- University of Western Sydney, Hawkesbury, 1992. / "Submitted in partial fulfillment of the requirements for the degree of : Master of Science (Research) Systems Agriculture (1992)" Bibliography: leaves 135-140.

Prehispanic Farming Fields in the Pampa de ChaparríWalled fields on the North Coast were agricultural installations created in the late prehispanic period. In historical accounts, they are associated with Chimu and Inka rulers or their families. Despite their importance to understanding late prehispanic economies, archaeological examples have not been reported to date. Research on walled fields in the Pampa de Chaparri (Ferreñafe province, department of Lambayeque) focused on construction techniques and yield archaeological insights into the management of these agricultural features within a regional agricultural system. / Campos de cultivos amurallados han sido registrados en la costa norte como parte de instalaciones productivas creadas durante periodos tardíos. Los casos reportados de este tipo de instalaciones agrícolas se encuentran relacionados con los gobernantes o con sus familiares. A pesar de la importancia que este tipo de instalaciones agrícolas presenta para entender el funcionamiento económico durante épocas tardías, no se han reportado correspondientes estudios arqueológicos. Los trabajos de las autoras en los campos de cultivo amurallados en la pampa de Chaparrí (provincia de Ferreñafe, departamento de Lambayeque), focalizados en las técnicas constructivas y uso de los mismos, ofrecen interpretaciones sobre el manejo de estas instalaciones agrícolas desde una perspectiva arqueológica dentro de un sistema regional agrícola.

<p dir="ltr">Precision agriculture has been around for many, many years but as technology has rapidly grown with the population, farmers are looking for more ways to improve their operation with the help of these tools. These tools help farmers manage, understand, and decide when, how and what should be done regarding the tough decisions in the field based on their machinery statues. The tools that utilize GPS location and provide farm managers with useful information and feedback on large scales of value in the Harvesting and planting operation. With previous works done focusing on identify state machine activity utilizing GPS location data with the use of loggers and algorithms this study carries on from one field to the next identifying the truth data set for each and the accuracy of the algorithm. The goal is to add a more realistic view to the states identifying turning and transporting throughout the harvesting operation in truth data and from algorithm results. Also diving into truck activity with lower standard GPS tracking to see how accurately they can be predicted to complete the harvesting cycle from vehicle to vehicle. Overall, the combine and grain cart held at 88% accuracy for labeling all state activity during the harvesting operation for multiple fields, while for the model algorithm with the grain trucks having an overall accuracy of 94%.</p>