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Agriculture In Qatar

Source: Modor Intelligence
Copyrights: Modor Intelligence

www.modorintelligence.com

AGRICULTURE IN QATAR – GROWTH, TRENDS, AND FORECAST (2020 – 2025)

Agriculture in Qatar Market is segmented by Food Crops/Cereals, Fruits and Vegetables. The market size, domestic production, consumption, import and export analyses of food Crops/Cereals, fruits and vegetables in the country are covered in the report.


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What is Smart Farming ?

Smart farming is a management concept focused on providing the agricultural industry with the infrastructure to leverage advanced technology – including big data, the cloud and the internet of things (IoT) – for tracking, monitoring, automating and analyzing operations. Also known as precision agriculture, smart farming is software-managed and sensor-monitored. Smart farming is growing in importance due to the combination of the expanding global population, the increasing demand for higher crop yield, the need to use natural resources efficiently, the rising use and sophistication of information and communication technology and the increasing need for climate-smart agriculture.

The combination of multiple technologies facilitates machine-to-machine (M2M) derived data. This data feeds into a decision support system so that farmers can see what is happening at a more granular level than in the past. For example, by precisely measuring variations within a field and adapting the strategy accordingly, farmers can greatly increase the effectiveness of pesticides and fertilizers and use them more judiciously. Similarly, smart farming techniques, help farmers better monitor the needs of individual animals and adjust their nutrition to prevent disease and enhance herd health.


By making farming more connected and intelligent, precision agriculture helps reduce overall costs and improve the quality and quantity of products, the sustainability of agriculture and the experience for the consumer. Increasing control over production leads to better cost management and waste reduction. The ability to trace anomalies in crop growth or livestock health, for instance, helps eliminate the risk of losing yields. Additionally, automation boosts efficiency. With smart devices, multiple processes can be activated at the same time, and automated services enhance product quality and volume by better controlling production processes.

Smart farming systems also enable careful management of the demand forecast and delivery of goods to market just in time to reduce waste. Precision agriculture is focused on managing the supply of land and, based on its condition, concentrating on the right growing parameters – for example, moisture, fertilizer or material content – to provide production for the right crop that is in demand. The types of precision farming systems implemented depend on the use of software for the management of the business. Control systems manage sensor input, delivering remote information for supply and decision support, in addition to the automation of machines and equipment for responding to emerging issues and production support.

Smooth Transition

Passing from traditional farming to smart one could be seen as a highly technical challenges and cost-investment barrier. That is why, a big attention should be addressed before diving in any changes that could be highly risky for the owner and investors.

Before starting any changes these points must be considered:

  1. Size of the farm and type of production
  2. Climate constraints
  3. Current production ratio
  4. Current Labor and Operations
  5. Current water and fertilizer type and quantities

The main objective of these steps is to identify different parameters and global requirement of the system. Based on the obtained model, a set of steps will be generated to define all phases of the transition process.

Our Alternative Solution







Continuity

Non disturbing approach, no interruptions in production

Robustness

PLC based solution, no third party implication

Flexibility

Multi-users, multi-farms, multi parcels, multi-equipment, multi-products

Security

No third-party IoT hubs, APIs oriented solution

Stability

Powerful servers, robust protocols

Scalability

Fully customizable, farm’s evolution projections

Outputs

Water Consumption

Control water volumes regarding parcels and climate conditions

Fertilizer Consumption

Control fertilizer volumes based on scientific formulas regarding farms production type

Automated Irrigation Cycles

Define and schedule irrigation cycles with fertilization injection

Alerting

Real-time alerting and notification engine

Reporting

Periodic detailed reports generation

Prediction and Learning

Estimate and predict future parameters and production volume

Technical Scheme

Study, Model, Deploy and transform Farms

Smart Farming Architecture

Case Study

Arima Smart

Google_vue

Size

Surface: 17 hectares
Number of Parcels: 32
Number of trees: 5000

Production

Apples, Oranges, Grapes

Equipment

Pumps: 02
Mixers: 03
Valves: 02
PCL: 01
Variator: 01
Sensors : Pressure, Temprature, Humidity, pH

Location

Tunisia

Duration

Three Months Development and Installation.
Two weeks Tests and Validation

Estimation

Calculation based on AI approach for prediction

Free Demo and Preliminary Study


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