Adaptation and Decision Supporting System for Agricultural Production


In recent years, the frequency of climate change and climate anomaly has been increasing gradually, causing loss of agricultural production and markedly threatening the food security of our nation. Therefore, to cope with the climate change and food security issue, a supporting system that can help administrators is needed to assess the suitable natural condition for the new crop, arrange modification priorities of the farm bases, allocate water resources, etc. The objective of this system is to enable our nation to make comprehensive decisions and organize a systematic and precise agriculture adaptation strategy to cope with climate changes.


In order to achieve the goal of running sustainable agriculture and ensuring long-term food security, Taiwan Agriculture Research Institute Council of Agriculture, Executive Yuan planned to mashup soil data, weather data and related spatial data of environment to build “Adaptation and Decision Supporting System for Agricultural Production.” Through the supporting system, the related departments can have a good grasp about the circumstances of food and vegetables’ main producing area and make good use of meteorological measurement and simulation data, which is integrated with the estimation result of rice production types and pest incidences to assess the possible damage of each crop production area under anomalous weather. The system can enable us to pre-arrange adaptation strategy and reduce property loss of industries.


Based on Web Geographic Information System, “Adaptation and Decision Supporting System for Agricultural Production” is the system which supports spatial information querying and displaying with maps. Users can arrange the map control tools and system function modules along the map border on the interface and have the best map displaying effect. Besides, the supporting system also provides users with basic map elements and spatial information, including scales, compass and so forth on its interface.


The main functionality structure contains Map Control Module, Layer Control Module, Map Positioning Module, Data Statistics Module and Model Estimation and Integration Module.

1. Map Control Module:
As the very basic function within GIS system, Map Control Module is used to control and manipulate the map enables users to zoom in/out map, pan map, switch base maps and query spatial information of points. Besides, users can effortlessly employ different scales by switching them.

2. Layer Control Module:
The Layer Control Module within “Adaptation and Decision Supporting System for Agricultural Production” is an integrative panel, displaying all the layer data with tree-structured categories. This module provides functions like map overlaying and transparency adjustment, enabling users to overlay layers with ease and get the required information with ease by adjusting layer transparency.

▲ Map overlay
▲ Transparency Adjustment

3. Map Positioning Module:
Map Positioning Module is created for users to easily find the exact position that they require to view. Coordinates, administrative districts, map frams and road positioning function are contained within this module.

4. Data Statistics Module:
With Data Statistics Module, users can have the rich data that are stored in Adaptation and Decision Database display on the map in a statistical way; the system supplies different data displaying results according to the data type that user specified. Take weather data as the example, “Adaptation and Decision Supporting System for Agricultural Production” shows the weather-related data, including minimal/maximum temperature, mean temperature, accumulated precipitation, etc., after a user specifying the spatial area to query.

5. Model Estimation and Integration Module:
This module is employed to mashup the results of the growth simulation of rice production (ORYZA2000) and of the pest incidence simulation (CLIMEX), displaying the integrated result on map and supporting users to view the estimation result in a dynamic way.

The estimation model provides rice types and cultivation year simulation settings for the system to simulate the results of rice production based on different settings.

▲ The growth simulation of Paddy

The estimation model provides pest incidence type and occurrence year simulation settings for the system to simulate the distribution of pest incidence with different climate changes based on the settings.

▲ Pest distributed simulation

The impact on agricultural production and ecology in Taiwan is more and more marked with climate changes caused by global warming. In order to improve the adaptability of agriculture to cope with climate changes, the “Adaptation and Decision Supporting System for Agricultural Production” mashup diverse spatial data related to agricultural environments and creates a versatile spatial database for agricultural environment as well, visualizing data on the GIS system built based on SuperWebIGS and enabling users to get efficient information for a better decision. In addition, working with estimation models of rice production and pest incidence, long-term weather observation database, and verifying the estimation results with the evidence-based data, the system can simulate the changes of rice production and pest incidence distribution. In this way, the decision makers can assess the possibility of loss and risk because of climate anomaly and pre-arrange the coping strategy to reduce industries’ loss.

Note: All the SuperWebGIS functionalities are contained within SuperGIS Server, which provides more main-stream GIS analysts. To read more success stories of SuperGIS Server, please visit SuperGIS Server Success Stories.

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