Sensing Strategies and Software Tools to Help Farmers Adapt to a Changing Climate
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1 Sensing Strategies and Software Tools to Help Farmers Adapt to a Changing Climate John D. Lea-Cox Department of Plant Science and Landscape Architecture University of Maryland, College Park, MD USA JLC@umd.edu
2 Sensor SCRI-MINDS: NetworksTeams and Working Groups University of Maryland: John Lea-Cox (PM, Micro-scale Modeling Nursery, Extension Outreach) Andrew Ristvey, Steven Cohan (Green Roof) Erik Lichtenberg (Economics Private Benefits) UM-Center Environmental Science: Dennis King (Socio Economics Public Benefits) Colorado State: Bill Bauerle, Mike Lefsky, Stephanie Kampf (LIDAR, Hydrology, Macroscale modeling Nursery) University of Georgia: Marc van Iersel, Paul Thomas, John Ruter, Matthew Chappell (Microscale modeling Greenhouse, Extension and Outreach) Cornell: Taryn Bauerle (Microscale Root Environments) Smart-Farms.net Managing Irrigation and Nutrition via Distributed Sensing Carnegie Mellon: George Kantor, David Kohanbash (Next Generation Core Software Development) Decagon Devices: Todd Martin, Colin Campbell Lauren Bissey (Next Generation Hardware Development, Core Software) Antir Software: Richard Bauer (Crop Modeling Software, Core Software )
3 The Process Data Information Knowledge Action The System Sensors Software Analyst Decision-Maker Intelligence Intelligence Intelligence
4 Radio Dataloggers Monitoring Node Control Node Cellular (3G) Monitoring Node
5 Soil Moisture, EC Sensors Various soil moisture sensors GS3: EC, soil moisture, soil temperature Line pressure In-line/Tank EC Water Potential
6 Environmental Sensors Photosynthetic and Total radiation Wind speed and direction Precipitation temperature, RH and VPD Sonic anemometer Leaf wetness, Dew and Ice
7 On-farm Weather Station DS-2 Sonic Anemometer Wind speed and direction Pyranometer Solar Radiation VP-4 Temp, RH, VPD, Barometric Pressure QSO-S PAR PAR (visible light) ECRN-100 Rain gauge Precipitation Em50G cloud based data logger
8 The Planetary Boundary Layer Davey et al., 2016 Int. J. Clim.
9 The Planetary Boundary Layer
10 The Planetary Boundary Layer
11 The Planetary Boundary Layer
12 Agricultural Implications of Increased Night Temperatures 1. Increased respiration rates Decrease in yield Decrease in food quality 2. Disruptions in pollination, fruit set 3. Increase in soil temperatures, microbial respiration rates, decrease in organic matter content 4. Increase in relative humidity, fungal disease 5. Increased weed pressure 6. Increased number of pest life cycles Wolfe et al., 2018 Climatic Change 146:
13 Cloud Software Capabilities: AgZoom
14 Geolocation of Cloud Dataloggers
15 Geolocation of Cloud Dataloggers
16 Geolocation of Cloud Dataloggers
17 Geolocation of Cloud Dataloggers
18 Frost Monitoring Current frost prediction tool - Sky-Bit (Satellite data) Air temperature is not a reliable predictor of frost events Canopy temperature should be measured Radiative frost: CT << AT on clear and calm nights 2 precision thermistors Mimic plant leaf and flower bud Measurement Range: -50 to 70 C Accuracy: ± 0.1 to ± 0.4 C Apogee SF-110 Radiation Frost Sensor
19 Radiative Frost Sensor Flower bud thermistor Leaf Thermistor Flower bud and leaf thermistors (indicated with red arrows) on the SF-110 radiation frost sensor deployed within the plant canopy at Shlagel Farms
20 Floating Row Cover Use Air Temp. FRC Growing Degree Day Thu 06 Mon 10 Fri 14 Tue 18 Sat 22 November 2014 Growing degree day (GDD) units recorded below and above floating row cover
21 Frost Events South Carolina March 14-16, 2017
22 Frost Events South Carolina March 14-16, 2017
23 AgZoom Alert Capability
24 AgZoom Alert Capability
25 Dashboard Single Node Data
26 Geolocated 7-Day Weather Forecast
27 Predictive Tools for IPM, Disease Management
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30 Arterra s Signature Wine
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AgWeatherNet A Tool for Making Decisions Based on Weather
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