Smart Agriculture Software Solutions

Smart Agriculture Software Solutions

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Smart Agriculture Software Solutions

Country
Sector
Most major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Food and Beverage
Sub Sector
Most major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Food and Agriculture
Indicative Return
Describes the rate of growth an investment is expected to generate within the IOA. The indicative return is identified for the IOA by establishing its Internal Rate of Return (IRR), Return of Investment (ROI) or Gross Profit Margin (GPM).
> 25% (in IRR)
Investment Timeframe
Describes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.
Short Term (0–5 years)
Market Size
Describes the value of potential addressable market of the IOA. The market size is identified for the IOA by establishing the value in USD, identifying the Compound Annual Growth Rate (CAGR) or providing a numeric unit critical to the IOA.
4.78 million hectares of land equipped for agricultural production (32).
Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.
> USD 10 million
Direct Impact
Describes the primary SDG(s) the IOA addresses.
Zero Hunger (SDG 2) Life on Land (SDG 15) Industry, Innovation and Infrastructure (SDG 9)
Indirect Impact
Describes the secondary SDG(s) the IOA addresses.
No Poverty (SDG 1) Reduced Inequalities (SDG 10)

Business Model Description

Develop or invest in software solutions including Artificial Intelligence (AI), Internet of Things (IoT), and machine learning technologies to digitalize farms and greenhouses including fruit and vegetable producers covering mostly tomatoes and cucumbers for monitoring crops, and watering times and ventilations in order to optimize crop yields, reduce production costs and support farmers’ decision making.

Expected Impact

Increase agricultural productivity through digital transformation in the agriculture industry, while enhancing natural resource management, improving decision-making, and reducing production costs.

How is this information gathered?

Investment opportunities with potential to contribute to sustainable development are based on country-level SDG Investor Maps.

Disclaimer

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The descriptions on this page are provided for informational purposes only. Only companies and enterprises that appear under the case study tab have been validated and vetted through UNDP programmes such as the Growth Stage Impact Ventures (GSIV), Business Call to Action (BCtA), or through other UN agencies. Even then, under no circumstances should their appearance on this website be construed as an endorsement for any relationship or investment. UNDP assumes no liability for investment losses directly or indirectly resulting from recommendations made, implied, or inferred by its research. Likewise, UNDP assumes no claim to investment gains directly or indirectly resulting from trading profits, investment management, or advisory fees obtained by following investment recommendations made, implied, or inferred by its research.

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Country & Regions

Explore the country and target locations of the investment opportunity.
Country
Region
  • Azerbaijan: Baku
  • Azerbaijan: Absheron - Khizi
  • Azerbaijan: Mountainous Shirvan
  • Azerbaijan: East Zangazur
Learn more

Sector Classification

Situate the investment opportunity within sustainability focused sector, subsector and industry classifications.
Sector

Food and Beverage

Development need
Although Azerbaijan's agricultural sector is the second largest employer in the country employing approximately 36.3% of the workforce, it underperforms by only contributing 5.9% to the country's GDP. Over 20% of agricultural lands are affected by varying degrees of salinity and degradation due to intensive farming practices, while more than half of farmers suffer from water shortages due to the country's arid climate (1, 2, 3).

Policy priority
Strategy of Socioeconomic Development of the Republic of Azerbaijan sets the target to increase agriculture-generated value added by 4% per annum for the 2022-26 period. State Programme on the Socioeconomic Development of the Regions from 2019 to 2023 highlights the priorities to increase food security, development of traditional agricultural fields, and enhance production and processing of agricultural products (4, 5).

Gender inequalities and marginalization issues
While agriculture jobs are most frequently held by rural women due to cultural norms, women are primarily involved in backyard farming and gardening. Women farmers demonstrate limited engagement in commercial farming and constitute 48.7% of farmers working in private or family-owned farms (6, 7, 8).

Investment opportunities introduction
Azerbaijan has a significant arable land mass at 54.9% suitable for agriculture activity. The European Union aims to invest EUR 50 million (USD 54.8 million) in an innovative rural development flagship by 2025, enabling sustainable agricultural production and irrigation methods under its Recovery, Resilience, and Reform agenda (9, 10, 11).

Key bottlenecks introduction
Limited application of modern irrigation techniques, lack of experience and innovation in the agri-food sector, absence of modern storage and processing facilities, short distribution channels between producers and buyers, and scarcity of available market data on agricultural production are among the key challenges facing the sector (13, 14).

Sub Sector

Food and Agriculture

Development need
Azerbaijan ranked 66th out of 113 in the Global Food Security Index 2022 mainly due to the vulnerability against food price fluctuations increasing by 18.4% during 2021-22, and food products accounting for 43.6% of household expenditure. Farmers continue to suffer from water shortages as merely 5% of agricultural lands are equipped with modern irrigation (15, 16, 17, 3).

Policy priority
Strategy of Socioeconomic Development of the Republic of Azerbaijan between 2022 – 2026 states that the government of Azerbaijan targets to increase the supply of irrigation water from 80% to 90% by 2026. National Pathways to Sustainable Food Systems by 2030 prioritizes fostering food processing and promoting sustainable use of water resources for national food systems (4, 3).

Gender inequalities and marginalization issues
Social norms have led to a gender division of labor in the agriculture sector, with women representing only half of the planters. Most of the planting activities are performed by men, who also make decisions about land use and income-generating activities since they are the ones who plant and sell the products. Smallholder farmers accounted for 90% of the country’s total agriculture production (18).

Investment opportunities introduction
The food-processing sector accounts for more than 38% of Azerbaijan's total manufacturing activity. In 2021, the export of canned fruits and vegetables are reached around USD 9.6 million (19, 12).

Key bottlenecks introduction
Informality in the agricultural labor force, limited number of agricultural experts, regional disparities in access to water coupled by limited data on drought trends, and absence of a national water management strategy for the agriculture sector are among the key bottlenecks (13, 20).

Industry

Agricultural Products

Pipeline Opportunity

Discover the investment opportunity and its corresponding business model.
Investment Opportunity Area

Smart Agriculture Software Solutions

Business Model

Develop or invest in software solutions including Artificial Intelligence (AI), Internet of Things (IoT), and machine learning technologies to digitalize farms and greenhouses including fruit and vegetable producers covering mostly tomatoes and cucumbers for monitoring crops, and watering times and ventilations in order to optimize crop yields, reduce production costs and support farmers’ decision making.

Business Case

Learn about the investment opportunity’s business metrics and market risks.

Market Size and Environment

Critical IOA Unit
Describes a complementary market sizing measure exemplifying the opportunities with the IOA.

4.78 million hectares of land equipped for agricultural production (32).

55% of Azerbaijan's total land area, or 4.78 million ha, can be utilized for agricultural purposes (32).

Azerbaijan's agricultural production reached AZN 9.16 million (USD 5.4 million) in 2021 (40).

ICT service exports in Azerbaijan, including computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions) reached USD 96.29 million in 2021 (66).

Indicative Return

IRR
Describes an expected annual rate of growth of the IOA investment.

> 25%

GPM
Describes an expected percentage of revenue (that is actual profit before adjusting for operating cost) from the IOA investment.

> 25%

According to a development fund active in Azerbaijan's non-oil sectors, enterprises developing smart agriculture software may generate an internal rate of return of 25% or more and a gross profit margin of 25% or more. Commercial financing may deliver lower returns, as the provided soft loan entailed more generous terms than market loans (34).

Investment Timeframe

Timeframe
Describes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.

Short Term (0–5 years)

A concessional fund active in Azerbaijan's non-oil sector has underlined that smart agriculture software investments can produce a positive cash flow in less than 5 years. Bankability for commercial loans may be longer, as soft loans have more generous terms (34).

Ticket Size

Average Ticket Size (USD)
Describes the USD amount for a typical investment required in the IOA.

> USD 10 million

Market Risks & Scale Obstacles

Capital - CapEx Intensive

Artificial intelligence systems demand significant investments in both hardware and software, which can be a significant barrier for small-scale farmers with minimal assets (36).

Market - Highly Regulated

The use of digital technologies in agriculture is subject to unregulated legislation, which limits the sector's growth and constrains investors activities (38).

Capital - Limited Investor Interest

Because 90% of farmers in Azerbaijan are smallholders, the scale of investments may pose a risk for investors. Land fragmentation and the need for modernized strategic land management systems might hamper the efficiency and modernization of agriculture production, limiting investor interest (35, 54, 55).

Impact Case

Read about impact metrics and social and environmental risks of the investment opportunity.

Sustainable Development Need

Approximately 20% of agricultural lands are in various states of salinity, erosion, and other types of degradation due to the use of intensive production methods, which leads to low productivity in the agricultural industry (3, 44).

The efficiency of small farms in Azerbaijan remains low due to poor land management and limited financial resources of farmers, and the majority of them do not utilize digital technologies to improve their operations or have limited experience in deploying innovative technologies (53, 39, 3).

Although the government has made strides in digitalizing the sector through the Electronic Agricultural Information System (EAIS), Farmer Data Monitoring System, Electronic Price Information Portal, and Geographic Information Systems, the application of digital technologies in the production phase remains limited (37, 38).

Gender & Marginalisation

Low productivity in the agriculture sector, due partly to lack of modernization and adoption of digital production techniques can accelerate migration flows from rural to urban areas, creating socioeconomic risks to the agricultural sector in Azerbaijan in the near future (35, 56).

Women confront discrimination in access to credit particularly in rural areas, due to a lack of land ownership, as men own more than 90% of property in the country. Digital platforms can generate important data on crop yields and alternative collateral, easing access to financing for rural and women producers (63).

Expected Development Outcome

The adoption of digital technologies in the agriculture sector can generate economic benefits by eliminating ineffective decision-making, improving the return on investment, and substantially reducing production costs (38).

With the use of smart agriculture software, farmers can gain a better understanding of water, topography, and soil types, enabling them to determine the most efficient use of scarce resources in their production area and manage them in an environmentally and economically sustainable manner (42).

Digitalization has the potential to accelerate SME development by enhancing companies' ability to enter new markets, optimize and improve their operations, integrate into global value chains, increase their innovative activities, and improve productivity (45).

Gender & Marginalisation

Agricultural technological applications increasing crop yields can improving rural welfare and reduce urban/rural disparities while ensuring enhanced food security through locally produced produce.

The digitalization of agricultural data collection through smart agriculture solutions, can ease women's access to financing through improved proof of collateral requirements.

Primary SDGs addressed

Zero Hunger (SDG 2)
2 - Zero Hunger

2.1.1 Prevalence of undernourishment

2.4.1 Proportion of agricultural area under productive and sustainable agriculture

2.3.2 Average income of small-scale food producers, by sex and indigenous status

Current Value

2.5% (2021) (58).

N/A

Average monthly nominal income of the people employed in agriculture of which 90% are privately-owned small farms, forestry and fishing is 456.9 AZN in 2021 (268 USD) (64, 65).

Target Value

N/A

N/A

The 2022-2026 Social and Economic Development Strategy of Azerbaijan sets a target of 10% growth in overall income (4).

Life on Land (SDG 15)
15 - Life on Land

15.3.1 Proportion of land that is degraded over total land area

Current Value

11.4% of Azerbaijan's total land area was degraded in 2021 (58).

Target Value

N/A

Industry, Innovation and Infrastructure (SDG 9)
9 - Industry, Innovation and Infrastructure

9.b.1 Proportion of medium and high-tech industry value added in total value added

Current Value

Proportion of medium and high-tech industry value added in total value added was 13.1% in 2021 (57).

Target Value

The 2022-2026 Social and Economic Development Strategy of Azerbaijan aims to increase technology deployments in agriculture, manufacturing and services, leading to a 4% growth in the agriculture sector per annum (4).

Secondary SDGs addressed

1 - No Poverty
10 - Reduced Inequalities

Directly impacted stakeholders

People

Farmers in the agriculture industry will profit from greater crop yields as well as enhanced financial and natural resource management decisions with the use of software solutions.

Gender inequality and/or marginalization

Boosting agricultural yields will increase farmers' financial income and diminish urban-rural inequalities, as Azerbaijan's rural population mostly engages in agriculture.

Planet

The adoption of software solutions in agriculture will allow for more efficient use of natural resources as well as improved land and environmental management, enabling for responsible use of Azerbaijan's natural resources.

Corporates

Agricultural exporters will benefit from the additional revenue. Revenues for farmers and software developers will rise.

Public sector

Innovative approaches in the agriculture sector will increase crop yields, reduce public sector spending on agricultural product exports, and enhance self-sufficiency, and while contributing to the government's digital transformation agenda.

Indirectly impacted stakeholders

People

Overall population will benefit from increased food security and improved crop yields and efficiency through smart agriculture solutions.

Planet

Reduced waste and minimization of pesticide use through smart agriculture will lead to better environmental sustainability.

Corporates

Startups in the agriculture sector will benefit from expanded opportunities to apply their innovative technological solutions for the agriculture sector.

Outcome Risks

The use of smart agriculture systems may increase the generation of e-waste, contaminating the environment, including soil, air, and water.

Impact Risks

Azerbaijan has a low degree of cybersecurity; unreliable data storage may jeopardize the obtained data and cause cybersecurity issues (38).

A shortage of highly skilled individuals with the necessary skills and practical expertise with modern agricultural techniques in the agriculture industry may impede the intended impact (41).

Potentially, more automation in the workplace in the agriculture sector might increase overall unemployment (37).

Unless proper subsidy programmes are implemented, rural farmers who have limited financing options may be excluded due to the high costs of smart agriculture inputs (38).

Impact Classification

C—Contribute to Solutions

What

Smart agriculture software solutions can lead to improved efficiency and profitability for farmers, and better environmental sustainability and food security while contributing to the government's digital transformation agenda.

Risk

Low level of cybersecurity and limited number of skilled individuals can limit adoption of smart agriculture software, while increased automation could lead to higher unemployment overall.

Contribution

In addition to the overall growth in the ICT market, smart agriculture software solutions can lead to improved efficiency and profitability for farmers as 17% of enterprises are at a transitional phase of digitalization with some having adop

Impact Thesis

Increase agricultural productivity through digital transformation in the agriculture industry, while enhancing natural resource management, improving decision-making, and reducing production costs.

Enabling Environment

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Policy Environment

Strategy of Socio-economic Development of the Republic of Azerbaijan between 2022 – 2026, 2022: Highlights that the application of technology in the agriculture industry will lead to higher productivity while targeting to increase agriculture-generated added value by 4% per annum during 2022-2026 (4).

State Programme of socio-economic development of the regions of the Republic of Azerbaijan in 2019-2023, 2019: Provides a framework for the socio-economic development of the regions of Azerbaijan, including the establishment of a modern 50 hectares farm for grain production in Ismayilli incorporating smart agriculture technology (59).

Strategic Vision and Roadmap for Azerbaijan Agriculture, 2016: Envisions building a digital database for the agriculture sector to forecast productivity (25). The Ministry of Agriculture disclosed in 2022 that a digitalize database on agricultural products is being developed (26).

National Pathways to Sustainable Food Systems 2030, 2021: Includes ensuring full digitalization in the agri-food sector and fostering cutting-edge technologies in the sector, as part of the future objectives and key priorities (3).

Strategic Roadmap for the Development of Telecommunications and Information Technology, 2016: Includes long term vision for 2025 for the ICT sector, including a greater integration of enhanced data services into Azerbaijan's key industries is envisioned (60).

Financial Environment

Financial incentives: Entrepreneurship Development Fund (EDF) provides soft loans with an annual interest rate of 5% and credit limits starting from AZN 5,000 (USD 2,941) up to AZN 1 million (USD 588,235) for companies operating in the agriculture sector (47).

Fiscal incentives: Income produced directly from the production of agricultural products is exempt from income tax. They are also exempt from VAT on agricultural products and property tax on land used for agricultural production (Tax Code Sections 102.1.11, 164.1.18 and 199.9) (28).

Other incentives: Agroleasing OJSC, a state owned leasing company, offers special leasing conditions to agricultural enterprises. Agroleasing rents or leases the technological and agricultural equipment acquired with state funding at a rate of 20% (31). 

Regulatory Environment

On Foodstuffs No 759-IG, 1999: Establishes the legal framework for managing food quality, organizing the production of food products, and ensuring the population's food security (27).

Land Code of Azerbaijan, 1991: Establishes the legal framework for the distribution of land rights The Code defines several forms of landownership, including state, private, and communal ownership, and lists the entities that may be landowners. The definition of Farmland is included in Article 52 (28).

On Information, Informatization and Protection of Information, 1998: Governs relationships resulting from the creation, collection, processing and dissemination of information, and the establishment and use of information systems and the means for their protection (29).

On Entrepreneurial Activity, n.d: Defines the principles of entrepreneurship in the Republic of Azerbaijan, the rights and duties of entrepreneurial subjects, and the reciprocal relationships of entrepreneurs with the state and institutions (30). 

Presidential Decree, February 23, 2019: Mandates taking necessary measures to organize, maintain and ensure the effective use of the “Electronic Agriculture” Information System (EAIS) (33).

Marketplace Participants

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Private Sector

FarmConnect, Agrovir, Sky Life Industry LLC, Alpha Exports Inc.

Government

Ministry of Agriculture, Ministry of Digital Development and Transport, Ministry of Ecology and Natural Resources, Agroleasing OJSC, State Agency for Food Safety, State Agency for Agro Credit and Development, Agricultural Subsidy Council, State Agency for Public Service and Social Innovations (ASAN).

Multilaterals

Food and Agricultural Organisation (FAO), United Nations Development Programme (UNDP), International Finance Corporation (IFC), EU4Climate, EU4Digital, EU4Business, European Bank for Reconstruction and Development (EBRD), Asian Development Bank (ADB), World Bank, IFAD, Islamic Development Bank (IsDB), GEF.

Non-Profit

USAID, Argo Information Center of Azerbaijan, Ganja Agribusiness Association, Agroinvestment Credit Union, Association of Agricultural Input Dealers in Azerbaijan, Farm Progress Center for International Scientific and Technical Cooperation.

Target Locations

See what country regions are most suitable for the investment opportunity. All references to Kosovo shall be understood to be in the context of the Security Council Resolution 1244 (1999)
country static map
urban

Azerbaijan: Baku

Baku has the strongest start-up ecosystem across the country where incubation centers and accelerators have become prevalent and established their headquarters (61).
semi-urban

Azerbaijan: Absheron - Khizi

The total area occupied by greenhouses is estimated at around 2,500 hectares, the majority of which are located in the Absheron Peninsula (51).
rural

Azerbaijan: Mountainous Shirvan

The government of Azerbaijan targets to establish an innovative farm on 50 hectares for the production of grain products (soft wheat) in Ismayilli region as declared in the State Program of socio-economic development of the regions of the Republic of Azerbaijan in 2019-2023 (53).
semi-urban

Azerbaijan: East Zangazur

In 2021, President Ilham Aliyev stated that the first smart village project would be constructed in the Zangilan district. The project will be based mostly on five components; housing, industry, social services, "smart agriculture", and alternative energy (48, 49).

References

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