Agri Punjab, Agriculture Department Agri Sindh, Agriculture Department University of Maryland Pakistan Space and Upper Atmosphere Research Commission U.S. Department of Agriculture Food and Agriculture Organization of the United Nations
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Area Frame Sampling System (AFSS)

Accurate crop monitoring and estimation is essential for an agriculture country like Pakistan. SUPARCO, in collaboration with FAO, is using satellite technology for estimating crops in Pakistan. For achieving the objectives, multiple techniques are in used to make estimates more accurate. Estimation is carried out by satellite image classification and area framing techniques. Satellite image classification is done using SPOT images and in area frame sampling technique there are 385 segments spread all across Pakistan.

Crop Reporting Services (CRS) gather information regarding crops and other related parameters within segment for both Rabi and Kharif cropping season. Paper based forms is the traditional way of gathering survey information by CRS through the country, which is time consuming to compile data and generate results/estimates for any particular season. Collection of ground information to estimate crops can be made more accurate and efficient by using mobile technology.

The Area Frame Sampling System (AFSS) was developed for real time collection of ground data along with ground photograph using a smart phone application. It is an efficient use of modern technologies that can make tedious tasks simpler. The solution for automation of area frame survey in Punjab and Sindh provinces is based on client server architecture which consista of the following modules:

  • Field survey (mobile/smart phone) application
  • Communication Server application
  • Database and Mapping application
Field survey application

It is a smart phone application running on android devices used for agriculture field survey. AFSS smart phone app is designed and developed with customized user friendly forms which allow users to fill necessary details required for field survey data collection for crop estimation. This application is designed in such a way that information entered in the forms and geo-tagged ground snaps (as shown in Figure 1) are saved within the smart phone along with geographical location of the surveyed field and transferred to communication server remotely in real time through available communication protocol (GSM/3G /GPRS).

Field survey application
Figure1: Smart phone application snap shots
Communication Server application

It receives the real time field data sent from the smartphone application through internet and plot a marker on GIS based map. Survey data is parsed into known fields and transferred to mapping and database modules. Module is also integrated with features for visualization, query and analysis for surveyed data. This application also hosts all spatial as well as survey / tabular data for further processing, query, analysis and reporting.

Communication server application
Figure 2: Communication server application snap shot
Database/Mapping application

This application consists of database and mapping modules. Database module stores the data in the database for future querying and maintaining past statistics. Data and activity logging functionality will also be available for optimal utilization of system.

The mapping section plots the markers using GPS generated Lat. / Long. of the exact location opf the survey. GIS information on the map helps plotting surroundings of the surveyed area. Map navigation features like zooming, panning and identity are available with easy click options. Clicking on the marker shows the actual ground image received by the server on the geo location as shown in Figure 2.

System Architecture

AFSS is based on a client server architecture to cater needs of future requirements and scope. System comprises of following components as shown in Figure 3:

AFSS architecture
Figure 3: System Architecture
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Sep 2, 2015 - A new amendment (no. 3) was signed by USDA and FAO to formalize a no-cost extension of the project GCP/PAK/125/USA from Oct 1, 2015 to Sep 30, 2016.

  recent updates

Aug 8, 2016. E-bulletin 11, Apr-Jun 2016.

Aug 5, 2016. E-learning courses on agriculture monitoring and statistics.

Aug 5, 2016. FAO's ECONET approach and land cover change in Pakistan.

Aug 5, 2016. Training on Carbon Sequestration.

Aug 5, 2016. CRS Punjab bulletins Apr 2016.

Apr 22, 2016. Cotton Production & Analytics.

Mar 1, 2016. Testing Sentinel-2 images for crop monitoring in Pakistan.

Feb 20, 2016. Crop Information Portal training.

Jan 20, 2016. Sugarcane Production & Analytics.

Jan 20, 2016. Training on REDD+ Technology for Forest Department Officers of Punjab.

Oct 29, 2014. Agriculture Information System project: roll-out workshop.

Aug 13, 2015. RS/GIS Training in Forest Management, Lahore, 4-8 May 2015.

FAO Pakistan website >>>>


Forum: "Pakistan Agriculture Sector". >>>>


SUPARCO, the National Space Agency of Pakistan >>>>


Government of Sindh: Agriculture Department >>>>


Agri Punjab >>>>

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