CCE App Description
Crop Cutting Experiments or CCEs, refer to an assessment method employed by governments and agricultural bodies to accurately estimate the yield of a crop or region during a given cultivation cycle, and is known by different names in different regions. The traditional method of CCE is based on the yield component method where specific locations are selected based on a random sampling of the total area under study. Once the plots are selected, the produce from a section of these plots is harvested and analysed for a number of parameters such as biomass weight, grain weight, moisture, and other indicative factors. The data gathered from this study is extrapolated to the entire region and provides an approximate assessment of the average yield of the state or region under study.
The use of technology in agriculture has made the practice of farming a lot more predictable and efficient. When compared to the traditional method of CCE that is based on random sampling, the use of satellite imagery and other technological advancements in these experiments provides a far more accurate selection of CCE points and timely estimation of yield. The CCE points can be selected smartly after due considerations to homogeneity and heterogeneity in the data points.
The use of technology in agriculture has made the practice of farming a lot more predictable and efficient. When compared to the traditional method of CCE that is based on random sampling, the use of satellite imagery and other technological advancements in these experiments provides a far more accurate selection of CCE points and timely estimation of yield. The CCE points can be selected smartly after due considerations to homogeneity and heterogeneity in the data points.
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