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<h2 class="content-1" id="titleH" style="color:#FFFF82">I. The Factors of Prediction</h2> | <h2 class="content-1" id="titleH" style="color:#FFFF82">I. The Factors of Prediction</h2> | ||
<div class="modelingPartContent" id="partH"> | <div class="modelingPartContent" id="partH"> | ||
− | <p class="content">We built a prediction model for our device to support our spraying system. The model will predict the number of the pest, so we can know when our farm will be in the pest threat in the future. Thus we can open our spraying system spraying PANTIDE to protect our farmland. To know the number of pests in the future, we used seven weather data in the past 20 days including | + | <p class="content">We built a prediction model for our device to support our spraying system. The model will predict the number of the pest, so we can know when our farm will be in the pest threat in the future. Thus we can open our spraying system spraying PANTIDE to protect our farmland. To know the number of pests in the future, we used seven weather data in the past 20 days including air pressure, the highest temperature, the lowest temperature, average temperature, humidity, precipitation, wind velocity, and also the accumulated number of bugs from the two periods including twenty to ten days ago and ten to one days ago. Because Pantide only influences on the larvae, we cannot easily predict the number of moths tomorrow or two or three days later. We needed to know the number of larvae in the future.</p> |
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Revision as of 16:02, 19 October 2016