Agriculture In Qatar
Source: Modor Intelligence
Copyrights: Modor Intelligence
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.
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:
- Size of the farm and type of production
- Climate constraints
- Current production ratio
- Current Labor and Operations
- 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
Case Study
Arima Smart
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