Document Type

Internship Report

Publication Date

Fall 2018

Abstract

In a new era of technology, where innovation and available resources allow for society to be more knowledgeable on various subjects, the use of new technology driven management tools can greatly improve the agricultural and environmental fields. Those involved in the agricultural community can now provide and receive statistical data regarding their crops, yielding the best available methods in ensuring the longevity of their crop fields. This also allows for the use of the best environmental practices concerning water usage and space maximization, as well as, maximizing profits. The newest form of agricultural data collection is the Crop Age Analysis (CAA) method which, coined and used by Land IQ, is predicted to accurately determine when permanent crop fields were planted. Land IQ employed two statistical models that involved remote sensing to correctly determine the age of crops, along with the creation of algorithmic models to produce age graphs. Using ArcGIS, the crop fields were observed and compared with infrared ESRI Landsat Explorer imagery and Google Earth Pro to confirm the expected age of permanent (multiple seasons) crops throughout California. Land IQ then used Ground Truthing, a remote sensing technique, to confirm crop type. CAA results can then be applied to crop yields in exploring how much a crop produces in the time it has been growing., This can determine the health of the crops, the impact of crops on the economy, and how many acres contain mature plants. These results will allow companies and farmers to conserve water usage and allocate their water to areas of crop land that need it most

Comments

Department: MES

MPS track: MCO

Location: Land IQ

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