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Remote sensing to estimate yield of field crops

Author
Shajahan, Sunoj; Cherney, Jerome; Longchamps, Louis; Ketterings, Quirine
Abstract
Because of greater accessibility and technological advancements in remote sensing and imagery processing, we can now tap into high-resolution and high-frequency imagery. Remotely sensed data will become more useful for farmers over time as we explore the data and learn to estimate and predict yield and forage quality at farm, field, and within-field scales. Stay tuned for advances in yield and quality prediction models for your farm as science develops.
Date Issued
2022-03Publisher
Progressive Dairy
Subject
PRO-DAIRY; Manager; dairy; forage; inventory; remote; sensing
Type
article
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