diff --git a/.settings/org.eclipse.jdt.core.prefs b/.settings/org.eclipse.jdt.core.prefs
index c1979f1ce9da72800d4c1174da24839ff70f2423..4203b15552570886493ea62fe313cfb4739825de 100644
--- a/.settings/org.eclipse.jdt.core.prefs
+++ b/.settings/org.eclipse.jdt.core.prefs
@@ -19,6 +19,8 @@ org.eclipse.jdt.core.compiler.debug.sourceFile=generate
 org.eclipse.jdt.core.compiler.maxProblemPerUnit=100
 org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
 org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
+org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning
+org.eclipse.jdt.core.compiler.release=disabled
 org.eclipse.jdt.core.compiler.source=1.8
 org.eclipse.jdt.core.incompatibleJDKLevel=ignore
 org.eclipse.jdt.core.incompleteClasspath=error
diff --git a/resources/2019_Aas_Norway.json b/resources/2019_Aas_Norway.json
new file mode 100644
index 0000000000000000000000000000000000000000..735ee30bd060b2d3feab19c6753840d11e1ee101
--- /dev/null
+++ b/resources/2019_Aas_Norway.json
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\ No newline at end of file
diff --git a/resources/fi/luke/vips/model/cerealmodels/texts.properties b/resources/fi/luke/vips/model/cerealmodels/texts.properties
new file mode 100644
index 0000000000000000000000000000000000000000..227792e194ddd928bc3d20e5da33cb16c9f584c3
--- /dev/null
+++ b/resources/fi/luke/vips/model/cerealmodels/texts.properties
@@ -0,0 +1,7 @@
+# 
+#
+# model name has been hard-coded in the java source file due to the fact that the 
+#model can be used for three different diseases
+usage=<p>The model setup requires the following parameters:</p><ul><li><strong>weather station(s)</strong> are the id(s) used for the relevant weather station(s). If possible, the stations used should be such that they\u2019re already included in VIPS system. It is possible to add new weather stations to VIPS, but this is extra work. Thus, if there\u2019s a near-by weather station already, it is preferred.</li><li><strong>Sowing date</strong> is the date the seeds were placed to the field in question. Please use DD.MM.YYYY format.</li><li><strong>Preceding crop</strong> is the crop type that was cultivated in the field the previous year. Possible crops are <strong>wheat, barley, oats, grass, turnip rape, sugar beet, and legumes</strong>. For fallow fields as well as fields with some other preceding crop use grass.</li><li><strong>Tillage method</strong> is the type of tillage done to the field before sowing. Possible values are <strong>ploughing, reduced tillage, and direct seeding</strong>. Reduced tillage should be used for all fields that are not ploughed and where direct seeding is NOT used.</li><li><strong>Crop susceptibility</strong> is a measure of how resistant the current crop is against the disease. The possible values are <strong>normal, resistant, and susceptible</strong>. In the model normal is the default; resistant crop causes the disease model to (in practice) progress at 50% of the default value and susceptible crop at 150% of the default.</li></ul><p>During the model execution the following weather parameters are required at <strong>One-hour precision</strong>:</p><ul><li>FM2: Average wind speed for the last 60 minutes, measured at 2 meter height (m/s)</li><li>UM: average relative humidity (%)</li><li>RR: Aggregated rainfall in millimeters</li><li>TM: Mean temperature (celcius)</li><li>FF2: Average wind speed for the last 10 minutes, measured at 2 meter height (m(s); only needed if FM2 is not available in the selected data source</li></ul>
+description=<p>This is a mechanistic model that can be used for three fungal diseases in cereals: the <em>barley net blotch caused by Pyrenophora teres, the wheat tan spot caused by pyrenophora triciti-repentis, and the wheat stagonospora blotch caused by s. nodorum</em>.</p>All three diseases included in the model can be modeled similarly, but only one disease, shown in the model title, is being modeled at a time.</p><p>The model is based on explicitly modeling the progress of diseases separately on each location. The principal entities and phenomena used in the model are <em>the disease, the field, the cultivar, and the weather</em>. The output of the model provides the farmer with information when the situation on their field has been beneficial for disease development and thus there is an elevated risk of a disease outbreak.  Modeling each disease is based on the same, mechanistic modeling approach. However, as the optimal circumstances for the progress of each disease are different, each disease needs to be modeled individually.</p> <p>The model gives two types of results: the daily risk and the accumulated risk. Of these the accumulated risk value is the one to keep an eye on. The accumulated risk tells how likely it is that the net blotch is going to infect the crop; the higher the accumulated risk value the higher the likehood of infection.</p><p><strong>an accumulated risk value of 50 or more is a cause for concern.</strong></p><p><strong>an accumulated risk value of 100 or more is a cause for heightened concern.</strong></p><p>To set up the model, the following information is required:</p><ul><li>A weather data source, such as a weather station, integrated to the VIPS system</li><li>The sowing date for the field in question</li><li>The preceding crop on the field</li><li>The tillage method used on the field</li><li>The susceptibility of the crop on the field</li></ul><p>As can be seen from the list, the model is field-specific, and therefore needs to be set up separately for each field where the disease situation is being monitored.</p>
+statusInterpretation=<p>The model gives two types of results: the daily risk and the accumulated risk. Of these the accumulated risk value is the one to keep an eye on. The accumulated risk tells how likely it is that the net blotch is going to infect the crop; the higher the accumulated risk value the higher the likehood of infection.</p> <p><strong>In general, an accumulated risk value of 50 or more is a cause for concern. This is shown in VIPS with yellow color</strong>. At that point it is prudent to keep an eye on the fields for signs of net blotch infection. However, as the model itself is calculated on a daily cycle, it is not taking into account longer weather trends, and therefore farming expertise is still valuable in assessing the situation.</p> <p><strong>An accumulated risk value of 100 more is a cause for heightened concern. This is shown in VIPS in red color</strong>. At that point there is a reason to expect an immediate net blotch infection in the crop. However, farming expertise should still be used when making the decision on doing crop protection operations on the field. If there are no visible signs of net blotch infection, there might be no need for disease management operations, either. </p> <p>The daily risk values are calculated independently for each day, and therefore they do not (directly) give information about how the model progresses on longer time periods. A very large daily value merely represents that on that day the environment was very good for the progress of the disease.</p>  
\ No newline at end of file
diff --git a/resources/model-constants.json b/resources/model-constants.json
index 14f6b6c102d5cf250de0d67a58a5d0ac279ae14b..0360133f838f673e086532b203f2040b3928a5bb 100644
--- a/resources/model-constants.json
+++ b/resources/model-constants.json
@@ -9,6 +9,8 @@
       "Pulse":{ "Intensive":{ "Value":-30 }, "Reduced":{ "Value":-70 }, "None":{ "Value":-100 } }
     },
     "Tillage":{ "Intensive":{ "Value":100 }, "Reduced":{ "Value":150 }, "None":{ "Value":200 } },
+    "TillageEffectDays":{ "Value":30 }, 
+    "TillageEffectAfter" : { "Intensive":{ "Value":150 }, "Reduced":{ "Value":150 }, "None":{ "Value":200 } },
     "CropSusceptibility":{ "Sensitive":{ "Value":1.5 }, "Normal":{ "Value":1 }, "Resistant":{ "Value":0.5 } },
     "DiseaseProgress":{ "[0,9]":{ "Value":1 }, "[10,19]":{ "Value":1 }, "[20,29]":{ "Value":1 }, "[30,44]":{ "Value":1.1 }, "[45,[":{ "Value":1.2 } },
     "SporeDevelopment":{
@@ -30,7 +32,7 @@
       "]20,25]":{ "[0,4]":{ "Value":0 }, "]4,6]":{ "Value":0.7 }, "]6,8]":{ "Value":1 }, "]8,[":{ "Value":1 } },
       "]25,[":{ "[0,4]":{ "Value":0 }, "]4,6]":{ "Value":1 }, "]6,8]":{ "Value":1 }, "]8,[":{ "Value":1 } }
     },
-    "AccumulatedRisk":{ "[0,5[":{ "Value":0 }, "[5,33[":{ "Value":3 }, "[33,70[":{ "Value":5 }, "[70,92[":{ "Value":10 }, "[92,116[":{ "Value":10 }, "[116,[":{ "Value":15 } }
+    "AccumulatedRisk":{ "[0,10[":{ "Value":0 }, "[10,71[":{ "Value":1 }, "[71,151[":{ "Value":2.5 }, "[151,201[":{ "Value":5 }, "[201,251[":{ "Value":5 }, "[251,[":{ "Value":7.5 } }
   },
   "DrechsleraTriticiRepentis":{
     "PrecedingCrop":{
@@ -42,6 +44,8 @@
       "Pulse":{ "Intensive":{ "Value":-30 }, "Reduced":{ "Value":-70 }, "None":{ "Value":-100 } }
     },
     "Tillage":{ "Intensive":{ "Value":100 }, "Reduced":{ "Value":150 }, "None":{ "Value":200 } },
+    "TillageEffectDays":{ "Value":30 }, 
+    "TillageEffectAfter" : { "Intensive":{ "Value":150 }, "Reduced":{ "Value":150 }, "None":{ "Value":200 } },
     "CropSusceptibility":{ "Sensitive":{ "Value":1.5 }, "Normal":{ "Value":1 }, "Resistant":{ "Value":0.5 } },
     "DiseaseProgress":{ "[0,9]":{ "Value":1 }, "[10,19]":{ "Value":1 }, "[20,29]":{ "Value":1 }, "[30,44]":{ "Value":1 }, "[45,[":{ "Value":1.2 } },
     "SporeDevelopment":{
@@ -64,7 +68,7 @@
       "]20,25]":{ "[0,3]":{ "Value":0 }, "]3,6]":{ "Value":0.2 }, "]6,12]":{ "Value":0.6 }, "]12,24]":{ "Value":1 }, "]24,[":{ "Value":1 } },
       "]25,[":{ "[0,3]":{ "Value":0 }, "]3,6]":{ "Value":0.2 }, "]6,12]":{ "Value":0.3 }, "]12,24]":{ "Value":1 }, "]24,[":{ "Value":1 } }
     },
-    "AccumulatedRisk":{ "[0,10[":{ "Value":0 }, "[10,71[":{ "Value":2.5 }, "[71,151[":{ "Value":5 }, "[151,201[":{ "Value":10 }, "[201,251[":{ "Value":10 }, "[251,[":{ "Value":15 } }
+    "AccumulatedRisk":{ "[0,10[":{ "Value":0 }, "[10,71[":{ "Value":1 }, "[71,151[":{ "Value":2.5 }, "[151,201[":{ "Value":5 }, "[201,251[":{ "Value":5 }, "[251,[":{ "Value":7.5 } }
   },
   "StagonosporaNodorum":{
     "PrecedingCrop":{
@@ -76,6 +80,8 @@
       "Pulse":{ "Intensive":{ "Value":-50 }, "Reduced":{ "Value":-100 }, "None":{ "Value":-100 } }
     },
     "Tillage":{ "Intensive":{ "Value":100 }, "Reduced":{ "Value":150 }, "None":{ "Value":200 } },
+    "TillageEffectDays":{ "Value":30 }, 
+    "TillageEffectAfter" : { "Intensive":{ "Value":150 }, "Reduced":{ "Value":150 }, "None":{ "Value":200 } },
     "CropSusceptibility":{ "Sensitive":{ "Value":1.5 }, "Normal":{ "Value":1 }, "Resistant":{ "Value":0.5 } },
     "DiseaseProgress":{ "[0,9]":{ "Value":1 }, "[10,19]":{ "Value":1 }, "[20,29]":{ "Value":1 }, "[30,44]":{ "Value":1.1 }, "[45,[":{ "Value":1.2 } },
     "SporeDevelopment":{
diff --git a/src/main/java/fi/luke/vips/model/cerealmodels/FinnCerealModels.java b/src/main/java/fi/luke/vips/model/cerealmodels/FinnCerealModels.java
index 7637e3638ea11f3decbc72b0e842cf75c01c8f73..77e8de61184395289f16b014c3a6106b60674a16 100644
--- a/src/main/java/fi/luke/vips/model/cerealmodels/FinnCerealModels.java
+++ b/src/main/java/fi/luke/vips/model/cerealmodels/FinnCerealModels.java
@@ -16,6 +16,7 @@ import no.nibio.vips.entity.ModelConfiguration;
 import no.nibio.vips.entity.Result;
 import no.nibio.vips.entity.ResultImpl;
 import no.nibio.vips.entity.WeatherObservation;
+import no.nibio.vips.i18n.I18nImpl;
 import no.nibio.vips.model.ConfigValidationException;
 import no.nibio.vips.model.Model;
 import no.nibio.vips.model.ModelExcecutionException;
@@ -24,7 +25,7 @@ import no.nibio.vips.util.InvalidAggregationTypeException;
 import no.nibio.vips.util.WeatherObservationListException;
 import no.nibio.vips.util.WeatherUtil;
 
-public class FinnCerealModels implements Model {
+public class FinnCerealModels extends I18nImpl implements Model {
     private final static ModelId MODEL_ID = new ModelId("FINNCEREAL");
 	
 	public static String PYRENOPHORA = "PyrenophoraTeres";
@@ -46,28 +47,35 @@ public class FinnCerealModels implements Model {
 	private TimeZone zone;
 	private String pathogen;
 	
+	// warning status limits; these define the upper limits for the corresponding risk category
+	private int noRisk = 50; // no risk warning required
+	private int lowRisk = 75; // low risk warning; if the value is higher than this high risk warning is given
+	
+	public FinnCerealModels() {
+		super("fi.luke.vips.model.cerealmodels.texts");
+	}
+	
 	@Override
 	public String getCopyright() {
-		// TODO Auto-generated method stub
-		return null;
+		return "Copyright (c) 2016-2019 Natural Resources Institute Finland";
 	}
 
 	@Override
 	public String getLicense() {
-		// TODO Auto-generated method stub
-		return null;
+		return "Copyright (c) 2016-2019 Natural Resources Institute Finland\n" +
+				"This file is part of the Finnish cereal models package." +
+				"The Finnish cereal models package is free software: you can distribute and/or modify it\n" +
+				"under the terms of the GNU Lesser General Public License (LGPL) version 3, or any later version.";
 	}
 
 	@Override
 	public String getModelDescription() {
-		// TODO Auto-generated method stub
-		return null;
+		return getModelDescription(Model.DEFAULT_LANGUAGE);
 	}
 
 	@Override
-	public String getModelDescription(String arg0) {
-		// TODO Auto-generated method stub
-		return null;
+	public String getModelDescription(String lang) {
+		return getText("description", lang);
 	}
 
 	@Override
@@ -78,28 +86,35 @@ public class FinnCerealModels implements Model {
 
 	@Override
 	public String getModelName() {
-		return "Model for pyrenophora teres, dreschlera triciti-repentis, and stagonospora nodorum";
+		if(pathogen == null || pathogen.equals("")) {
+			return "Model for net blotch (pyrenophora teres), tan spot (pyrenophora triciti-repentis), and stagonospora blotch (s. nodorum)";
+		} else {
+			return "Model for " + pathogen;
+		}
 	}
 
 	@Override
 	public String getModelName(String arg0) {
 		// TODO Auto-generated method stub
 		if (arg0.equals("fi")) {
-			return "Pistelaikku-, verkkolaikku-, ja ruskolaikkumalli";
+			if(pathogen == null || pathogen.equals(""))
+				return "Pistelaikku-, verkkolaikku-, ja ruskolaikkumalli";
+			else 
+				return pathogen + " -malli";
+		
 		}
 		return getModelName();
 	}
 
 	@Override
 	public String getModelUsage() {
-		// TODO Auto-generated method stub
-		return null;
+		return getModelUsage(Model.DEFAULT_LANGUAGE);
 	}
 
 	@Override
-	public String getModelUsage(String arg0) {
-		// TODO Auto-generated method stub
-		return null;
+	public String getModelUsage(String lang) {
+		return getText("usage", lang);
+
 	}
 
 	// this is the method that actually runs the model. At most it should be refactored to get no parameters
@@ -113,8 +128,13 @@ public class FinnCerealModels implements Model {
 		List<Result> resultList = new ArrayList<>();
 		// reset model
 		Double accumulatedRisk = 0.0;
+		// sowing date now presumed to be the first date in the data set
+		// XXX this may be a bad idea
+		Date firstDate = dailyTemperature2.get(0).getTimeMeasured();
+		m.setSowingDay(firstDate);
 		for(int i=0; i < dailyTemperature2.size(); i++) {
 			Date currentDate = dailyTemperature2.get(i).getTimeMeasured();
+			m.setCurrentDay(currentDate);
 			Result r = new ResultImpl();
 			m.setTemperature(dailyTemperature2.get(i).getValue());
 			r.setValue(pathogen, "ATemp", ""+dailyTemperature2.get(i).getValue());
@@ -146,8 +166,14 @@ public class FinnCerealModels implements Model {
 			accumulatedRisk += m.getAccumulatedRisk();
 			r.setValue(pathogen, "DAILY_ACCUMULATION", "" + accumulatedRisk);
 			r.setValidTimeStart(currentDate);
-			// TODO give each result the correct warning status
-			r.setWarningStatus(Result.WARNING_STATUS_NO_RISK);
+			// TODO create means to dynamically set warning statuses
+			if(accumulatedRisk < noRisk) {
+				r.setWarningStatus(Result.WARNING_STATUS_NO_RISK);
+			} else if (accumulatedRisk < lowRisk) {
+				r.setWarningStatus(Result.WARNING_STATUS_MINOR_RISK);				
+			} else {
+				r.setWarningStatus(Result.WARNING_STATUS_HIGH_RISK);
+			}
 			resultList.add(r);
 		}
 		return resultList;
@@ -243,20 +269,17 @@ public class FinnCerealModels implements Model {
 
 	@Override
 	public String getSampleConfig() {
-		// TODO Auto-generated method stub
-		return null;
+		return "No sample config provided at this time.";
 	}
 
 	@Override
 	public String getWarningStatusInterpretation() {
-		// TODO Auto-generated method stub
-		return null;
+		return getWarningStatusInterpretation(Model.DEFAULT_LANGUAGE);
 	}
 
 	@Override
-	public String getWarningStatusInterpretation(String arg0) {
-		// TODO Auto-generated method stub
-		return null;
+	public String getWarningStatusInterpretation(String lang) {
+		return getText("statusInterpretation", lang);
 	}
 
 	public void setAccumulatedRisk(Double d) {
@@ -315,6 +338,12 @@ public class FinnCerealModels implements Model {
 			} else {
 				m.setDailyLeafWetnessDuration(d);
 			}
+			Boolean b = (Boolean)arg0.getConfigParameter("timeTillageEffects");
+			if(b == null) {
+				m.setTimeTillageEffects(true);
+			} else {
+				m.setTimeTillageEffects(b);
+			}
 
 			// weather information
                         ObjectMapper objectMapper = new ObjectMapper();
diff --git a/src/main/java/fi/luke/vips/model/cerealmodels/test/FinnCerealModelsTest.java b/src/main/java/fi/luke/vips/model/cerealmodels/test/FinnCerealModelsTest.java
index ec049bfe1e4870833a975e557dcd24fa313aeb03..8b6a10f1641c6aed6672ce838bc4c62a37d91fa1 100644
--- a/src/main/java/fi/luke/vips/model/cerealmodels/test/FinnCerealModelsTest.java
+++ b/src/main/java/fi/luke/vips/model/cerealmodels/test/FinnCerealModelsTest.java
@@ -73,6 +73,14 @@ public class FinnCerealModelsTest {
 		generalTest(FinnCerealModels.STAGONOSPORA, "STAGONOSPORA",altData);
 		if(printTime) System.out.println(new Date().getTime());		
 	}
+	
+	@Test
+	public void messageTest() {
+		FinnCerealModels model = new FinnCerealModels();
+		System.out.println(model.getModelDescription());
+		System.out.println(model.getModelUsage());
+		System.out.println(model.getWarningStatusInterpretation());
+	}
 
 	public List<Result> generalTest(String modelName, String modelPublicName, String inputFileName) {	
 		FinnCerealModels pm = new FinnCerealModels();
diff --git a/src/main/java/fi/uef/envi/mtt/model/diseasepressure/BaseRisk.java b/src/main/java/fi/uef/envi/mtt/model/diseasepressure/BaseRisk.java
index 3349680c8e702a9085712cf7b135a31bc63ed2cf..24206cd393e704c895a004dee3715b55e14d6392 100644
--- a/src/main/java/fi/uef/envi/mtt/model/diseasepressure/BaseRisk.java
+++ b/src/main/java/fi/uef/envi/mtt/model/diseasepressure/BaseRisk.java
@@ -7,6 +7,7 @@ package fi.uef.envi.mtt.model.diseasepressure;
 
 import java.io.File;
 import java.io.IOException;
+import java.util.Calendar;
 
 import com.fasterxml.jackson.core.JsonProcessingException;
 import com.fasterxml.jackson.databind.JsonNode;
@@ -37,6 +38,7 @@ public class BaseRisk implements Risk {
 	private String tillageType;
 	private String cropSusceptibilityType;
 	private String pathogenType;
+	private boolean tillageEffect;
 	private static ObjectMapper mapper = new ObjectMapper();
 
 	public BaseRisk() throws JsonProcessingException, IOException {
@@ -52,8 +54,13 @@ public class BaseRisk implements Risk {
 			throw new NullPointerException("[node = null]");
 
 		this.node = node;
+		this.tillageEffect = true;
 	}
 
+	public void setTillageEffect(boolean b) {
+		tillageEffect=b;
+	}
+	
 	public void setPathogen(String type) {
 		this.pathogenType = type;
 	}
@@ -65,7 +72,7 @@ public class BaseRisk implements Risk {
 	public void setTillage(String type) {
 		this.tillageType = type;
 	}
-
+	
 	public void setCropSusceptibility(String type) {
 		this.cropSusceptibilityType = type;
 	}
@@ -120,7 +127,11 @@ public class BaseRisk implements Risk {
 
 		double a = n.asDouble();
 
-		n = pathogenTypeNode.get("Tillage");
+		if(tillageEffect) {
+			n = pathogenTypeNode.get("Tillage");
+		} else {
+			n = pathogenTypeNode.get("TillageEffectAfter");
+		}
 
 		if (n == null)
 			throw new NullPointerException("Tillage not found [pathogenType = "
@@ -168,4 +179,28 @@ public class BaseRisk implements Risk {
 
 		return (a + b) * c;
 	}
+
+	public boolean isTillageInEffect(Calendar sowingDay, Calendar currentDay) {
+		// TODO Auto-generated method stub
+		JsonNode pathogenTypeNode = node.get(pathogenType);
+		JsonNode n = pathogenTypeNode.get("TillageEffectDays");
+		if (n == null)
+			throw new NullPointerException(
+					"Value not found [pathogenType = "
+							+ pathogenType + "; TillageEffectDays ]");
+
+		n = n.get("Value");
+		if (n == null)
+			throw new NullPointerException(
+					"Value not found [pathogenType = "
+							+ pathogenType + "; TillageEffectDays ]");
+		int days = n.asInt();
+		// less days since sowing than the maximum that the tillage is in effect
+		return (currentDay.get(Calendar.DAY_OF_YEAR) < (sowingDay.get(Calendar.DAY_OF_YEAR)+days));
+	}
+
+	public boolean getTillageEffect() {
+		// TODO Auto-generated method stub
+		return tillageEffect;
+	}
 }
diff --git a/src/main/java/fi/uef/envi/mtt/model/diseasepressure/DiseasePressureModel.java b/src/main/java/fi/uef/envi/mtt/model/diseasepressure/DiseasePressureModel.java
index 8342d9f9ad67771f9d0762fbc46cfe23bb532236..f4f6c45e677fc6a39307ca727ea81dae85928593 100644
--- a/src/main/java/fi/uef/envi/mtt/model/diseasepressure/DiseasePressureModel.java
+++ b/src/main/java/fi/uef/envi/mtt/model/diseasepressure/DiseasePressureModel.java
@@ -10,6 +10,8 @@ import java.io.FileInputStream;
 import java.io.FileNotFoundException;
 import java.io.IOException;
 import java.io.InputStream;
+import java.util.Calendar;
+import java.util.Date;
 import java.util.List;
 
 import com.fasterxml.jackson.databind.JsonNode;
@@ -42,17 +44,37 @@ public class DiseasePressureModel {
 	private SporeSpreading sporeSpreading;
 	private InfectionProbability infectionProbability;
 	private ObjectMapper mapper = new ObjectMapper();
+	private Calendar sowingDay, currentDay;
+	// if timeTillageEffects is true, then the model keeps track of how long it has been
+	// since tillage, and at certain point stops using the Tillage configuration value
+	// and starts using the TillageEffectAfter -value. 
+	// if timeTillageEffects is false, the value of Tillage field in the configuration is used
+	// always. The default is true if sowing date is given, false otherwise
+	private boolean timeTillageEffects;
 
 	public DiseasePressureModel() {
 		this(DiseasePressureModel.class.getClassLoader().getResourceAsStream(
-				Options.MODEL_CONSTANTS_FILE));
+				Options.MODEL_CONSTANTS_FILE), new Date());
 	}
 
+	public DiseasePressureModel(Date date) {
+		this(DiseasePressureModel.class.getClassLoader().getResourceAsStream(
+				Options.MODEL_CONSTANTS_FILE), date);
+	}
+
+	public DiseasePressureModel(File file, Date date) throws FileNotFoundException {
+		this(new FileInputStream(file), date);
+	}
+	
 	public DiseasePressureModel(File file) throws FileNotFoundException {
-		this(new FileInputStream(file));
+		this(new FileInputStream(file), new Date());
 	}
 
 	public DiseasePressureModel(InputStream stream) {
+		this(stream, new Date());
+	}
+	
+	public DiseasePressureModel(InputStream stream, Date sowingDay) {
 		JsonNode node;
 
 		try {
@@ -61,6 +83,18 @@ public class DiseasePressureModel {
 			throw new RuntimeException(e);
 		}
 
+		this.sowingDay = Calendar.getInstance();
+		this.currentDay = Calendar.getInstance();
+		timeTillageEffects = false;
+		if(sowingDay != null) {
+			this.sowingDay.setTime(sowingDay);
+			this.currentDay.setTime(sowingDay);
+			timeTillageEffects = true;
+		}
+//		this.sowingDay.set(Calendar.HOUR_OF_DAY,0);
+//		this.sowingDay.set(Calendar.MINUTE,0);
+//		this.sowingDay.set(Calendar.SECOND,0);
+//		this.sowingDay.set(Calendar.MILLISECOND,1);
 		baseRisk = new BaseRisk(node);
 		dailyRisk = new DailyRisk();
 		accumulatedRisk = new AccumulatedRisk(node);
@@ -125,8 +159,29 @@ public class DiseasePressureModel {
 	public void setLeafIsWet(List<Boolean> leafIsWet) {
 		sporeSpreading.setLeafIsWet(leafIsWet);
 	}
+		
+	public void setSowingDay(Date d) {
+		sowingDay.setTime(d);
+	}
 
+	public void setCurrentDay(Date d) {
+//		if(currentDay == null) {
+//			currentDay = Calendar.getInstance();
+//		}
+		currentDay.setTime(d);
+//		currentDay.set(Calendar.HOUR_OF_DAY,0);
+//		currentDay.set(Calendar.HOUR,0);
+//		currentDay.set(Calendar.MINUTE,0);
+//		currentDay.set(Calendar.MILLISECOND,1);
+	}
+	
 	public double getBaseRisk() {
+		// tillage is not timed, thus it is always on.
+		if(!timeTillageEffects) {
+			baseRisk.setTillageEffect(true);
+		} else if(baseRisk.getTillageEffect()) {
+			baseRisk.setTillageEffect(baseRisk.isTillageInEffect(sowingDay,currentDay));
+		}
 		return baseRisk.compute();
 	}
 
@@ -137,6 +192,14 @@ public class DiseasePressureModel {
 	public double getAccumulatedRisk() {
 		return accumulatedRisk.compute();
 	}
+
+	public boolean isTimeTillageEffects() {
+		return timeTillageEffects;
+	}
+
+	public void setTimeTillageEffects(boolean timeTillageEffects) {
+		this.timeTillageEffects = timeTillageEffects;
+	}
         
       
 
diff --git a/src/test/java/fi/luke/vips/model/cerealmodels/FinnCerealModelsTest.java b/src/test/java/fi/luke/vips/model/cerealmodels/FinnCerealModelsTest.java
index 51550203c6b88db64f4cf74f37f0f5bd9215f327..b4295b7413745d846fd6f0eaf830f08be2a009b1 100644
--- a/src/test/java/fi/luke/vips/model/cerealmodels/FinnCerealModelsTest.java
+++ b/src/test/java/fi/luke/vips/model/cerealmodels/FinnCerealModelsTest.java
@@ -1,8 +1,5 @@
 package fi.luke.vips.model.cerealmodels;
 
-import static org.junit.Assert.*;
-
-import java.util.Calendar;
 import java.util.Collections;
 import java.util.Date;
 import java.util.List;
@@ -10,7 +7,6 @@ import java.util.stream.Collectors;
 
 import org.junit.Test;
 
-import fi.luke.vips.model.cerealmodels.FinnCerealModels;
 import no.nibio.vips.entity.ModelConfiguration;
 import no.nibio.vips.entity.Result;
 import no.nibio.vips.entity.WeatherObservation;
@@ -21,11 +17,14 @@ import no.nibio.vips.util.test.WeatherDataFileReader;
 
 public class FinnCerealModelsTest {
 
-	private static boolean printOutput = true;
-	private static boolean printTime = false;
-	private static String shortData ="/2_day_weather_data.json";
-	private static String longData = "/2016-june-september_fixed.json";
-	private static String altData ="/2016-june-september2_fixed.json";
+	private static final boolean printOutput = true;
+	private static final boolean printTime = false;
+	private static final String shortData ="/2_day_weather_data.json";
+	private static final String longData = "/2016-june-september_fixed.json";
+	private static final String altData ="/2016-june-september2_fixed.json";
+        private static final String norwegianData = "/2019_Aas_Norway.json";
+        
+        private static final String timeZone = "Europe/Oslo"; // Change this as you change data files
 	
 	@Test
 	public void shortTestDresch() {
@@ -46,7 +45,7 @@ public class FinnCerealModelsTest {
 	public void longTestDresch() {
 		System.out.println("Dreschlera");
 		if(printTime) System.out.println(new Date().getTime());
-		generalTest(FinnCerealModels.DRESCHLERA, "DRESCHLERA", longData);
+		generalTest(FinnCerealModels.DRESCHLERA, "DRESCHLERA", norwegianData);
 		if(printTime) System.out.println(new Date().getTime());
 	}
 	
@@ -54,7 +53,7 @@ public class FinnCerealModelsTest {
 	public void longTestPyre() {
 		System.out.println("Pyrenophora");
 		if(printTime) System.out.println(new Date().getTime());
-		generalTest(FinnCerealModels.PYRENOPHORA, "PYRENOPHORA",longData);
+		generalTest(FinnCerealModels.PYRENOPHORA, "PYRENOPHORA",norwegianData);
 		if(printTime) System.out.println(new Date().getTime());
 	}
 
@@ -62,7 +61,7 @@ public class FinnCerealModelsTest {
 	public void longTestStago() {
 		System.out.println("Stagonospora");
 		if(printTime) System.out.println(new Date().getTime());
-		generalTest(FinnCerealModels.STAGONOSPORA, "STAGONOSPORA",longData);
+		generalTest(FinnCerealModels.STAGONOSPORA, "STAGONOSPORA",norwegianData);
 		if(printTime) System.out.println(new Date().getTime());
 	}
 	
@@ -70,7 +69,7 @@ public class FinnCerealModelsTest {
 	public void ff2Test() {
 		System.out.println("FF2 wind data test, Stagonospora");
 		if(printTime) System.out.println(new Date().getTime());
-		generalTest(FinnCerealModels.STAGONOSPORA, "STAGONOSPORA",altData);
+		generalTest(FinnCerealModels.STAGONOSPORA, "STAGONOSPORA",norwegianData);
 		if(printTime) System.out.println(new Date().getTime());		
 	}
 
@@ -81,7 +80,7 @@ public class FinnCerealModelsTest {
 					WeatherDataFileReader().getModelConfigurationWithWeatherData(inputFileName,
 							modelPublicName);
 			data.setConfigParameter("model", modelName);
-			data.setConfigParameter("timeZone", "GMT");
+			data.setConfigParameter("timeZone", FinnCerealModelsTest.timeZone);
 			setCommonParameters(data);
 			List<Result> results = null;
 			pm.setConfiguration(data);
@@ -131,11 +130,19 @@ public class FinnCerealModelsTest {
 			windSpeedAll = observations.stream().filter(t -> t.getElementMeasurementTypeId().equals(WeatherElements.WIND_SPEED_10MIN_2M))
 			.collect(Collectors.toList());
 		}
+                System.out.println("First temp is at " + temperature.get(0).getTimeMeasured());
+                        System.out.println("Last temp is at " + temperature.get(temperature.size()-1).getTimeMeasured());
         m.setConfigParameter("temperature", temperature);
         m.setConfigParameter("rainfall", rainfall);
         m.setConfigParameter("rh", rh);
         m.setConfigParameter("windspeed", windSpeedAll);
+        
+        System.out.println("temperature size=" + temperature.size());
+        System.out.println("rainfall size=" + rainfall.size());
+        System.out.println("rh size =" + rh.size());
+        System.out.println("windSpeedAll=" + windSpeedAll.size());
 
+        m.setConfigParameter("timeTillageEffects", Boolean.FALSE);
 		m.setConfigParameter("precedingCrop","Wheat");
 		m.setConfigParameter("tillageMethod","Intensive");
 		m.setConfigParameter("diseaseSusceptibility","Normal");