Final It Firm Tors Cs-02 KPFSSP
Final It Firm Tors Cs-02 KPFSSP
Country: Pakistan
Introduction
Agriculture contributes about 22.7% to the GDP and employs around 37.0% of the
Pakistan’s total labor force, whereas the Khyber Pakhtunkhwa (KP) agriculture sector accounts
for around 22.0% of the provincial gross domestic product and employs 44.0% of the labor force.
Compared to other provinces, KP has the smallest average land holdings, i.e., 1.5 hectares (ha).
Due to subsistence farming, use of uncertified and less-resilient seeds, inefficient use of
fertilizers, low soil fertility, poor weed and pest management practices and climate change, the
average yield of staple crops in the province is much less than the national average yield. To
address these challenges, KP Agriculture Department (KPAD) has designed the KP Food
Security Support Project funded by ADB through a loan of $80 million and a grant of $3 million.
The project has two components and aims to improve food security by introducing climate
resilient agriculture technologies and practices, capacity enhancement of the farming community
and agriculture staff. The training activities envisaged under two major components of the project
are given in table below:
The proposed project will address livelihoods, food security, and climate vulnerabilities of rural
farm households in the most flood-damaged districts of the Khyber Pakhtunkhwa province.1 It
will contribute to (i) increased agricultural productivity through providing flood-affected
smallholding farmers with critical agriculture inputs and training in safe and efficient use of those
agricultural inputs; (ii) improved household nutrition through agricultural input support and
training to female farmers; (iii) improved digitalization for farmers to better access extension
services, markets and climate and disaster information; and (iv) increased institutional
preparedness for climate-induced disasters with interventions utilizing information and
communication technology (ICT).
The project will contribute to the government’s Resilient Recovery, Rehabilitation, and
Reconstruction Framework (4RF) strategy and investment priority.2 It will bolster the agriculture
sector’s response to the impact of the 2022 floods in the province and will support flood-affected
smallholder farmers (and tenants) with up to 3 hectares (ha) of land. The project will improve the
resilience, rural livelihood, and food security situation of rural households. Support activities will
cover 47% of the area of wheat, 64% of the area of rice, and 50% of the area of vegetables in
the project districts.
The Khyber Pakhtunkhwa Food Security Support Project is designed to achieve the following
results
Project impact: Food security, climate resilience and income need for the vulnerable sections of
the population to improve.
The outcome of the KP Food Security Support Project will be achieved by the following two
intertwined outputs.
1
Charsadda, Dera Ismail Khan, Malakand, Nowshera, Peshawar, Swat, and Upper Dir.
2
For strategic recovery objective 2: restore livelihoods and economic opportunities for food security for
medium- (up to 3 years) and long-term (up to 5 years investment needs).
vegetable production packages, including vertical farming material, will also be provided to
diversify the production base of 42,000 additional smallholding farmers, accompanied by
trainings and capacity building on climate-resilient agronomic practices, integrated crop and pest
management, and the safe use of agriculture inputs;3 (ii) provide packages of small agriculture
production tools as well as trainings to about 28,000 women to enhance household-level nutrition
and promote climate-resilient agriculture among female farmers; and (iii) deliver toolkits and
training on seed cleaning, better storage practices, and safer handling of pesticides containers
and fertilizer bags to about 25,000 female farmers. The Japan Fund for Poverty Reduction
(JFPR) will finance activities related to seed cleaning and the safer handling of pesticide
containers and fertilizer bags among female farmers. The achievement of community resilience
will be measured at project completion.4
Output 2: Institutional capacity and preparedness for climate-induced disaster
strengthened. The output will address the mid- and long-term needs for institutional capacity
enhancement. It will improve timely responses to increased climate-induced disasters and build
institutional preparedness. It will support (i) the establishment of a unified sex-disaggregated
digital database of farmers in the province for more targeted extension services delivery,
information availability, and financial services; (ii) integration of remote sensing technology in
monitoring crop stress for early warning to agriculture extension within the Khyber Pakhtunkhwa
Agriculture Department (KPAD); (iii) installation of an ICT-based pest surveillance system for
early warning and timely-management of climate-induced pest attacks; (iv) enhance the capacity
of the KPAD to expand the seed production and multiplication system; and (v) enhance the
capacity of the soil and water testing labs under agriculture extension and research. The output
will support minor civil works.5 This will strengthen the provincial government’s policy decisions
in agriculture and food security for emergency short, medium-, and long-term needs.
Background of the assignment
The agricultural sector in Khyber Pakhtunkhwa faces several challenges, including unpredictable
weather patterns, pest infestations, and a lack of timely, reliable data to inform decision-making.
KP-ASIS will address these issues by providing an integrated platform for real-time data
collection, analysis, and reporting, helping farmers and policymakers improve their strategies.
The project is part of a broader effort by the KP government to modernize agriculture and make
it more sustainable, while also supporting the livelihoods of farmers in the region. The KP-ASIS
will integrate spatial data on land use, crop yield, weather, and market prices with traditional
agricultural statistics, enabling stakeholders to make informed decisions.
2. Purpose of the Assignment
3
An e-distribution system will be established under the Khyber Pakhtunkhwa Agriculture Department to efficiently
and sustainably distribute required farm inputs. This will be financed under the ongoing ADB. Islamic Republic of
Pakistan: Strengthening Food Security Post-COVID-19 and Locust Attacks (TA 6663).
4 For scalability and replication in future investments for enhancing community resilience, a small
study for designing measurement methodology and baselines of improved climate-gender-poverty resilience
will be conducted during project preparation.
5
This will include minor rehabilitation, none-core solar photovoltaic, and upgrading of existing government
facilities.
The Government of Khyber Pakhtunkhwa (GoKP), through the Department of Agriculture, aims
to establish a state-of-the-art Agricultural Statistics Information System (KP-ASIS). This system
will improve data-driven decision-making, enhance agricultural productivity, and strengthen
service delivery by integrating real-time market data, GIS-based land monitoring, pest
surveillance, and mobile-based field support tools.
The system will also include the development of a mobile application to support pest
management, crop monitoring, and agricultural decision-making with integration into the already-
developed farmer registration system.
The scope of this assignment is divided into three key phases, with specific deliverables at each
stage to ensure the successful design, development, and deployment of the KP-ASIS.
The first phase will focus on gathering detailed requirements, conducting needs assessments,
and creating the foundational architecture for the KP-ASIS platform. The firm will be required to:
• Conduct stakeholder consultations and needs assessments with Crop Reporting Services
(CRS), Agriculture Extension, and farmer groups.
• Analyze existing platforms (e.g., AMIS.pk) and systems to identify integration points and
gaps.
• Document system architecture including data flow, integration protocols, cloud
requirements, and GIS specifications.
• Produce
o Requirements & Needs Assessment Report
o Technical Architecture Design
o Functional and Security Specifications
This phase involves the actual design and development of the KP-ASIS GIS platform, focusing
on the following core areas:
• Build a web-based dashboard for real-time data access (market prices, crop data, pest
reports, etc.)
• Develop an Android mobile application with features including geotagging, offline data
capture, pest monitoring, and integration with the existing farmer registration database.
• Integrate with:
o Local & international market data feeds
o GIS mapping tools (for land use, crop types)
o Legacy systems used by the Department
• Implement:
o Role-Based Access Control (RBAC)
o Cloud hosting / data center deployment
o Disaster Recovery mechanism
• Deliver iterative development cycles with regular feedback from stakeholders every 2-3
weeks.
After the development of the KP-ASIS platform, the firm will be responsible for deploying the
system, conducting pilot tests, and ensuring that users are trained. Key activities include:
• Deploying the system on a secure, scalable cloud platform or government data center.
• Conducting comprehensive testing, including unit testing, functional testing, and user
acceptance testing (UAT).
• Provide
o Training for system administrators, master trainers, and field users
o Maintenance and technical support for 6 months post-deployment
o Documentation including manuals, backup strategies, and sustainability plan
The purpose of establishing the Agricultural Statistics Information System (ASIS) in the Khyber
Pakhtunkhwa Agriculture Department is to enhance agricultural productivity and improve
decision-making through the integration of modern information technology. Key objectives
include:
1. Data Collection and Analysis: To collect, store, and analyze data on crops, livestock,
weather, and market trends, enabling informed decision-making.
3. Market Linkages: To facilitate better market access for farmers by providing timely
updates on market prices, demand, and supply trends.
7. Improving Efficiency: To streamline operations and improve service delivery within the
agriculture department by digitizing processes and minimizing manual interventions.
10. Integrate the system with existing databases and data collection mechanisms used by the
KP Agriculture Department.
11. Create a mobile application to support field inspections, pest surveillance, crop monitoring,
and decision support for farmers.
12. Provide real-time data visualizations, trend analyses, and reports to various stakeholders.
13. Ensure the system is secure, scalable, and user-friendly, with disaster recovery protocols
in place.
14. Offer training and support to Agriculture Department personnel to ensure smooth
operations post-deployment.
The ASIS system serves as a vital tool for bridging the gap between stakeholders, fostering
innovation, and driving the agricultural sector's growth in Khyber Pakhtunkhwa.
• Location:
o Web Portal Server: Deployed on-premise at the Crop Reporting Services Office.
4. Scope of Services
• Design and develop a web-based platform and mobile application for managing
agricultural crop statistics and decision-support information ‘
• Ensure the system supports real-time data collection and analysis on crop area, yield,
production, and pest incidence across KP
• Ensure the system supports real-time data collection and dissemination from various
markets across KP.
• Integrate modules for graphical representation and analytical tools for market trends.
• Incorporate local market data, including daily commodity prices, supply volumes, and
demand indicators.
• Integrate international commodity prices with real-time currency conversion to Pakistani
Rupees.
• Ensure data synchronization between market committees, provincial departments, and
central databases.
• Develop user-friendly interfaces in both English and Urdu to cater to a diverse user base.
• Implement features such as notifications, graphical reporting, and historical price analysis.
• Conduct training sessions for farmers, traders, and government officials on using the
ASIS platform.
• Develop and distribute comprehensive user manuals and video tutorials.
5. System Architecture
The system architecture for KP-ASIS will be designed to integrate spatial and non-spatial data,
ensuring scalability, security, and ease of integration with other systems used by the Agriculture
Department. The architecture will encompass the following components:
The system will support the business processes of Crop Reporting Services (CRS) and
Agriculture Extension services by managing real-time data on crop areas, yields, and production
statistics. The business architecture will also align with the project objectives, ensuring efficient
and standardized data reporting.
The KP-ASIS platform will include centralized data management, capable of handling vast
amounts of spatial and non-spatial agricultural data. The system will utilize advanced databases
and cloud services for secure and scalable data storage and processing. GIS layers for mapping
land use, crop yields, and pest monitoring will be integrated with analytics engines.
The platform will prioritize the management and visualization of core crop statistics, including
planted area, crop stage, yield forecasts, and seasonal trends
The technology stack will include web-based interfaces for data management and visualization,
with a mobile application supporting field inspections. Security protocols, including role-based
access control (RBAC) and disaster recovery measures, will be implemented to ensure data
protection.
5.4. Disaster Recovery and Business Continuity:
A disaster recovery plan will be placed to restore the system in case of hardware or software
failure, ensuring minimal disruption to operations. Backup data will be stored securely and made
available in case of system outages.
KP-ASIS will integrate seamlessly with existing agriculture systems and platforms, including those
tracking agricultural loans, market prices, weather, and climate data and the previously developed
farmer registration system, avoiding duplication of functionality. The integration points will be
mapped clearly, ensuring compatibility and smooth data flow.
6. Functional Specifications
The functional specifications of the KP-ASIS platform will cover a wide range of technical and
operational requirements:
The firm will recommend server specifications, storage solutions, and networking hardware based
on system load estimates. The system must be scalable to handle increasing data volumes over
time.
The software stack must include modern web-based applications, with back-end systems capable
of processing large datasets, spatial information, and real-time data collection. The firm must
ensure that the system operates efficiently in a networked environment, with secure connections.
Security is a high priority, with access to the system limited to authorized users only. Role-based
access control (RBAC) and secure data encryption must be implemented. The system must be
scalable to support an increasing number of users and data points over time.
The user interface should be intuitive and user-friendly, with easy navigation and customizable
dashboards for different user types. The mobile app will support geotagging, pest monitoring, and
task management, with offline capabilities to ensure uninterrupted use in remote areas.
The firm must provide a detailed plan for disaster recovery, including regular backups, redundant
data storage, and a system to restore operations in case of failure.
• KP-ASIS will enable the collection of accurate, real-time data, improving the quality of
information available to decision-makers. The data will include crop yield, pest
infestations, land use, and weather data.
• KPIs: Data accuracy to be verified at 95% or higher, reduction in manual data entry errors
by 80%.
• Through the mobile application and farmer registration, the system will actively engage
farmers in the reporting and decision-making process.
• KPIs: Increase in the number of farmers registered in the system by 50% within the first
year of deployment.
• The system will improve decision-making for agricultural officers by providing trend
analysis, dashboards, and real-time data on crops, pest control, and climate conditions.
• KPIs: Faster response times for pest outbreaks (reduction by 30%), improved forecasting
for crop yields, and better decision-making tools leading to a 20% improvement in
resource allocation.
The Quality Assurance (QA) process will ensure that the KP-ASIS platform is delivered with
minimal defects, meeting the technical and functional requirements set out in the ToR. The testing
plan will consist of the following stages:
Each module of the system, including the mobile app, GIS platform, and analytics engine, will
undergo rigorous unit testing to validate functionality and ensure components operate as
expected in isolation.
Integration testing will confirm that the system’s components work together seamlessly. This
phase will test data sharing, GIS layers, reporting, and mobile app integration.
• UAT will involve the Agriculture Department staff and selected end-users (such as field
inspectors and farmers) to ensure the system meets their expectations and is easy to use.
(After Deployment)
• The firm must deliver UAT manuals and training materials and coordinate multiple rounds
of testing until all user feedback is addressed.
• This testing phase will ensure that the system can handle high user loads and large
datasets, without compromising performance.
• KPIs: The system should maintain response times of less than 3 seconds under standard
loads and no more than 10 seconds under peak loads.
Identifying risks and creating mitigation strategies is crucial to the success of the project. The
following risks have been identified:
• Risk: Integration issues with existing systems or new features may delay project
completion.
• Mitigation: Conduct early-stage integration testing and regular reviews with the Agriculture
Department’s IT team.
• Risk: Unforeseen events like natural disasters could disrupt system deployment or data
collection.
• Mitigation: Develop a disaster recovery plan, including cloud-based backups and offsite
data storage.
The KP-ASIS platform will need to integrate and migrate legacy data from existing systems
currently used by the Agriculture Department. The data migration plan includes:
Conduct a comprehensive review of all existing data sources, including crop reporting, pest
control, and agricultural extension data.
10.2. Data Mapping and Transformation:
Map legacy data to the new system’s data structure, ensuring that all critical fields and formats
are compatible.
Remove redundant, obsolete, or duplicate entries to ensure that the migrated data is accurate
and current.
Post-migration data checks will be performed to ensure the integrity and completeness of the
migrated data.
11. Deliverables:
• Phase-1:
o Inception Report, Requirements Document, System Architecture Design
• Phase-2:
o KP-ASIS Web Portal, Mobile App, Integrated Database, APIs
• Phase-3:
o Deployment, UAT Reports, Training Materials, Maintenance Logs
• Final
o Project Completion Report, Sustainability and Exit Strategy
For the development of ASIS system and App for pest management the firm and its personnel
have a vast experience in the following areas:
Key Experts
Position Qualifications Experience Responsibilities
Team Leader / Master’s degree in project Minimum 10 years of Ensure project milestones
IT Specialist (1) management, Information experience managing are achieved on time and
Technology, Information large-scale IT within budget.
Communication projects, preferably in
Technology or a related GIS and agricultural Coordinate with internal
field. information systems. teams, government
Proven experience in
stakeholders, and
managing cross-
functional teams and development partners
handling projects such as ADB.
funded by
international
development
agencies such as
ADB.
Senior Master’s degree in Preferably 8 years of Lead the architectural
Software Computer Science, hands-on experience design, coding, testing,
Engineer Software Engineering, or in software and deployment of the KP-
related field. development, ASIS platform (web and
including full-stack mobile components).
development,
preferably in large- Develop and maintain
scale public sector or back-end services,
data systems. databases, APIs, and
integration logic for third-
Proven experience in party systems (e.g.,
developing enterprise- weather, market data).
level applications with
GIS integration, REST Ensure that the system
APIs, and real-time adheres to established
analytics features. security protocols, role-
based access control
Strong command of (RBAC), and data
programming protection regulations.
languages such as
JavaScript (Node.js, Support mobile application
React), Python, or development (Android)
Java. with features such as
geotagging, pest reporting,
Deep understanding and offline access.
of relational and non-
relational databases Optimize performance and
(PostgreSQL, ensure scalability for large
MongoDB, etc.). datasets and user loads.
Collaborate with
stakeholders (including
farmers and government
personnel) to gather
design requirements and
incorporate their feedback
into the system design.
Develop wireframes,
prototypes, and high-
fidelity visual designs that
are consistent with the KP-
ASIS branding and user
needs.
Execute performance
testing to ensure the
system can handle
expected user loads and
data volumes.
Coordinate and manage
UAT with end-users,
ensuring that feedback is
captured and addressed.
Provide recommendations
for improving the system
based on testing results.
Cybersecurity Bachelor’s degree in Preferably 5 years of Conduct a thorough
Expert Cybersecurity, Information experience in security assessment of the
Technology, or a related cybersecurity, with a KP-ASIS platform,
field. strong background in identifying vulnerabilities,
securing web security gaps, and
applications, potential risks.
databases, and mobile
platforms. Develop and implement
security policies,
Proven experience in procedures, and
implementing security guidelines for the KP-ASIS
measures for system, including
government or encryption protocols, role-
development sector based access control
projects is highly (RBAC), and user
desirable. authentication.
Oversee the
implementation of secure
data transmission
protocols (SSL/TLS) and
secure storage
mechanisms.
Offer post-training
support, including a
helpdesk, online
resources, and
troubleshooting assistance
for end users.
Non-Key Experts
Position Qualifications Experience Responsibilities
Enumerator/Field Bachelor’s degree in Preferably 3 years of Conduct farmer
Coordinator Agriculture, Social experience in field surveys, market
Sciences, Statistics, coordination, data assessments, and
Development Studies, collection, or structured interviews
or a related field. community-based as part of the system’s
development work. requirement analysis
and pilot phases.
Prior work
experience with Coordinate logistics for
agricultural or rural field visits, focus
development groups, and
projects is highly stakeholder meetings
desirable. at tehsil and village
levels.
Familiarity with Assist in data
digital data collection validation and
tools (e.g., verification exercises,
KoboToolbox, ODK) including geotagged
and mobile apps. data and photographs.
Monitor field
performance during
User Acceptance
Testing (UAT) and help
resolve practical
challenges
encountered by users.
Participate in regular
code reviews, sprint
planning, and feature
testing cycles.
M&E Officer Master’s degree in Preferably 5 years of Develop and
Monitoring & relevant experience operationalize the M&E
Evaluation, Statistics, in designing and plan, including
Development Studies, implementing M&E performance
Public Policy, systems, preferably indicators, baselines,
Economics, or a related within agriculture, targets, and data
field. ICT, or public sector collection methods.
development
projects. Track project
implementation
Proven experience progress against
in setting up M&E agreed milestones and
frameworks, outputs (e.g., system
conducting field- deployment, training
based assessments, delivery, farmer
and data analysis engagement).
using statistical
tools. Work with the QA and
development teams to
align performance
metrics with system
features (e.g., UAT
results, response
times, adoption rates).
Support adaptive
management and
learning processes
within the project team.
Technical Writer Bachelor’s or Master’s Preferably 3 years of Develop and maintain
degree in English, experience in high-quality
Communications, technical writing for documentation
Computer Science, software, IT including user
Information systems, or digital manuals, administrator
Technology, or a platforms, preferably guides, system
related discipline. in development or architecture overviews,
public sector and training materials.
projects.
Collaborate closely
Experience working with developers, UI/UX
in Agile/Scrum designers, QA teams,
development and business analysts
environments is a to translate technical
plus. specifications into
understandable
content.
Document API
references, data
workflows, user
instructions, and
maintenance
procedures.
Update documents
regularly based on
system upgrades,
feedback from users,
and bug resolution.
Ensure documentation
adheres to data
protection and security
protocols
IT Support Technician Bachelor's degree in Minimum of 3 years Provide first-level
Computer Science, of experience in IT technical support to
Information support roles, end-users of the KP-
Technology, or a preferably with ASIS system, including
related technical field. experience in farmers, field staff, and
supporting software government personnel.
deployments in
public sector or Troubleshoot system
agriculture-related errors, mobile app
programs. issues, server
connectivity problems,
Experience and software bugs.
supporting mobile
and web applications Assist in the
is highly desirable. configuration,
installation, and routine
maintenance of IT
infrastructure
(networking, firewalls,
local servers).
Ensure smooth
operation of in-house
hosting environments
at Crop Reporting
Services and the
Agriculture
Department.
Support the
deployment of updates
and patches, and
coordinate with
developers for
resolution of technical
problems.
Maintain logs of IT
incidents and solutions
to support continuous
improvement.
Support remote
troubleshooting when
required and escalate
unresolved issues to
higher-level support or
development teams.
The IT firm must develop a comprehensive training and knowledge transfer program to ensure
that the Agriculture Department staff can operate the system independently after deployment. The
training program will include:
In-depth training for system administrators on how to manage users, data inputs, and reports.
Detailed training on how to use the mobile application for geotagging, pest monitoring, and crop
reporting in the field.
Comprehensive user manuals and quick-start guides for all user types, including farmers, field
inspectors, and administrators.
The firm will develop a train-the-trainer program to create master trainers who can then provide
ongoing training within the Agriculture Department.
15. Reporting
The consultants will prepare the following reports in English and provide the copies as per
deliverables and schedule along with respective soft copy.
a) Inception Report – In this report, the consultants will present their strategy,
methodology, timeline, responsibility matrix, risk analysis, risk response methods etc.
for successful delivery of consultancy services.
b) Monthly Progress Reports.
c) Mid-term Report on the format acceptable to the Client.
d) Quality Assurance Plan - (QA/QC Manual).
e) Assignment Completion Report.
The schedule for various reports and documents that are likely to be generated by the consultants
has been prepared. Additional reports and presentations shall be prepared as required. The
consultants will supply the deliverables along with the respective soft copy thereof to the PD, KP-
FSSP as per schedule given below.
Sr.
Document Hard Copies Due
No.
36 (2 Sets
4. Monthly Progress Report 10th of each of the following month
each month)
Quality Assurance Plan (QA/ Within 45 days after commencement
5. 3
QC Manual) of services
10th of the first month of following
6. Quarterly Progress Report 6
quarter
2. Operational Costs: Expenses for field visits, equipment, and office management.