<![CDATA[Farming on a large scale at Agritech PT XYZ calls for satellite monitoring so that supervision actually works, yet a heavy schedule of field visits has not translated into effective monitoring on its own. Earlier work largely stops at the direct link between monitoring technology and farming performance, leaving the pathway joining the two thinly and inconsistently evidenced, especially across the Indonesian agritech landscape. This study therefore weighs how four dimensions of satellite monitoring implementation, covering information availability, information accuracy, monitoring speed, and operational utilisation, shape land monitoring effectiveness, while asking whether data-driven decision making carries that influence. The design is quantitative and causal, drawing on 120 field agronomists enumerated as a census, with estimation through partial least squares path modelling. Every dimension lifted both land monitoring effectiveness and data-driven decision making at a meaningful level; the latter in turn raised effectiveness and conveyed the influence of all four. Each dimension travels a different route, since information availability moves largely along the direct path whereas information accuracy contributes almost wholly through decision making, with monitoring speed standing out overall. Investment therefore needs sorting by mechanism rather than treating remote sensing as one uniform construct.]]>
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