{"componentChunkName":"component---src-templates-blog-post-js","path":"/portfolio/MAD_Algorithm/","webpackCompilationHash":"02bbf7f224e96f9e0ed0","result":{"data":{"markdownRemark":{"html":"<p>This week, We found <strong>the MAD algorithm</strong>.</p>\n<p>M.A.D means <u>how much percentage soil can dry</u> while growing crops as Management Allowed Depletion. If the crop can grown at 70% of soil moisture, then MAD is 30%.</p>\n<p>Using M.A.D, we can get irrigation set time depending on Flow rates of sprinkler(gph), Net irrigation (%), Gross Application(%).</p>\n<p><u>Net irrigation</u> means how much percent soil can intake water depending soil texture like clay, sand, loam...etc.</p>\n<p><u>Gross Application</u> means how much percent soil can intake water given by application.</p>\n<p>We can get Gross Application(inches) : Net irrigation(inches) / Application efficiency(%, no unit) , where application efficiency means how much percent the application can make the soil wet,for example, furrow is 70~85% and drip or micro sprayer is 80~90%.</p>\n<p>Therefore we use <strong>micro sprayer</strong> for application efficiency.</p>\n<p>Then, We can get <u>Irrigation Set Time</u> (hr)</p>\n<p>T=(GA x A)/(1.6 x Q)</p>\n<p>where : T = Set Time, hours </p>\n<p>GA= Gross Application, inches</p>\n<p>A = Area, square feet (plant spacing x row spacing)</p>\n<p>Q = Flow Rate per plant, gallons per hour (Multiply emitter flow rate by number of emitters per plant) </p>\n<p>1.6 – Conversion Factor</p>","timeToRead":1,"frontmatter":{"title":"M.A.D Algorithm","date":"2020-01-24","tags":["irrigation","react","js","javascript","arduino","lora","smart","farm","purdue","indiana"]}}},"pageContext":{"isCreatedByStatefulCreatePages":false,"slug":"/portfolio/MAD_Algorithm/"}}}