Session 1A - AMBautista...Session 1A - AMBautista Author Thea Claire Modesto Chua Created Date 7/18/2019 2:05:30 PM

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Agricultural Resiliency through Smart Technology: Weather Forecasting and Early Warning

Arnel M. Bautista President and General Manager

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Agricultural Resiliency

Risk Reduction Measures

Responses to Climate Impacts

Adaptation to building

resilience

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“the capacity to absorb a shock” -Bosquet et al., 2016

“ability to develop capacities to prepare for, cope with and adapt, and potentially transform” -Schwarts et al., 2011

Providing Solutions. Connecting Technologies www.bpit-inc.com

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Climate Change

Extreme Heat Drought High Precipitation

Storms Flooding

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Do we have the data?

Data Available but not accessible

Data Available, but calculation required

31%

33%

14%

22%

Data Not Available

Data Available

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Smart Technology Solution

Automatic Weather Station Provides data of weather in real time

Robust unit intended for longer period of data collection and can withstand extreme weather Local Weather Forecast Local Weather Forecast

One farm, one local weather forecast

Mobile App

Acts as data monitoring and Early Warning

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BP INTEGRATED TECHNOLOGIES

, INC.

We are a technology and solutions provider. For more than 15 years, the company has been offering a wide range of sophisticated and high-q u a l i t y L i f e s c i e n c e , Laboratory, Environmental monitoring equipment and systems, IT services and technical services. We aim to provide the best-suited technology to our c l i e n t s ’ n e e d s . W i t h continuous research and development, we connect technologies specifically by integrating various equipment and develop systems 6


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Automated Weather Station

Automated Weather Station vs •  Data generation, archiving, and remote

transmission of real-time data that could be accessed through mobile app or web display

•  Can be integrated with a variety of sensors regardless of brand (could include Evaporation, soil moisture, and solar radiation)

•  Withstands harsh weather conditions •  Collection of high degree of details of

weather information

Agromet Station

•  Generates data only •  Limited sensors •  Short lifespan, most sensors have moving

parts and vulnerable to damages from strong winds

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Localized Weather Forecast

Benefits High accuracy; more data from the AWS, the higher the accuracy of the forecast Provides forecast on precipitation, temperature, wind in the next 3 hours 8


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Early Warning Network

Data Monitoring Data Transmission Data Management and Early Warning

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Mobile App Bringing data and early warning to

the farmers

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Agricultural Resiliency Timeline

20YY

JAN FEB

Installation of AWS Feb, 20YY

MAR

APR MAY JUN JUL AUG

SEP OCT NOV

DEC JAN

20YY

Calibration of Weather Forecast Jan, 20YY

FEB MAR

APR MAY JUN JUL

Identification of Risk Reduction

measures Jul, 20YY

AUG

SEP OCT NOV

Identification of

Adaptation Program Nov, 20YY

DEC

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Success Story

Features Pilot installation Installed inside Cagayan River Basin Includes water level, rainfall Early Warning System Mobile App

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Apayao

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Success Story

Features Pilot station with localized weather forecast Intended to provide irrigators (NIA) data for efficient and properly design irrigation system Part of their Climate Change Adaptation Program

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NIA-Bukidnon


Success Story

Features First Installation in an Urban Area Provides both Mobile App for Early Warning and Local Weather Forecast

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Valenzuela City

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Success Story

Features Installed inside the campus near the farm Intended for research purposes

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Catanduanes State University


Success Story

Features Latest installation of Early Warning System Ormoc has a history of heavy flooding Includes Localized Weather forecasting and Mobile App

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Ormoc City

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Summary

•  Agricultural Resiliency can be achieved through three steps: Risk reduction measures, identifying response to climate impacts, and identifying adaptation program.

•  Climate Change affects farms direct through crop losses from extreme heat, drought, high precipitation, storms, and flooding.

•  Measures are needed to be done to reduce the effects of these natural phenomenon.

•  However, almost no data are available for the local farmers to use

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Summary

•  Automatic Weather Stations are more advantageous compared to Agromet stations mainly because it provides real-time monitoring and early warning for the farmers.

•  Local weather forecast provides farmers increased yield through tactical application

•  Mobile App gives farmer more hands on monitoring of local weather and early warning

•  With the above smart technology applications, better adaptation programs and risk reduction measures can be established

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References

Bousquet, F., A. Botta, L. Alinovi, O. Barreteau, D. Bossio, K. … Staver, C. 2016. Resilience and development: Mobilizing for transformation. Ecology and Society, 21(3): 40 Schwarz, A.-M., Bene, C., Bennett, G., Boso, D., Hilly, Z. … Andrew, N. (2011). Vulnerability and resilience of remote rural communities to shocks and global changes: Empirical analysis from Solomon Islands. Global Environmental Change, 21, 1128–1140. Bizikova L., Tyler, S., Waldick R., & Larkin, P. (2017). Can we measure Resiliency? Reducing Agriculture’s Vulnerability to Climate Change, 8(5),. 1-5

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Documents

Session 1A - AMBautista...Session 1A - AMBautista Author Thea Claire Modesto Chua Created Date 7/18/2019 2:05:30 PM