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Low Cost Techniques to Predict Strawberry Yield in Field

In order to apply precision farming to high value crops such as strawberries, a yield monitoring method is needed. The yield monitoring system for high value crops should be simple and relatively low cost for it to be adopted by growers. In this paper, one indirect and one direct method of monitoring strawberry yield were investigated. For the indirect method, a computer vision method was studied. The results of indirect method indicated that although the contrast between strawberries' red color and its surrounding can be used to predict yield, a high resolution camera and more sophisticated algorithms are needed to provide the desired accuracy. A strawberry yield monitor for semi mechanical harvester were designed and tested. This yield monitor directly measures the yield. The results are discussed in the paper. Two software programs were developed for this test. This includes: 1) Testing GPS accuracy version 1.01 and 2) Testing Multiple GPS accuracy version 1.02.

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Investigators: Reza Ehsani, Divaker Durairaj, Lijie Xu, Matthew Sullivan, and Joel Walker, Department of Food, Agricultural and Biological Engineering

Contact: Reza Ehsani

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