Precision agriculture refers to a farm management approach that uses advanced technologies to ensure that agricultural inputs (such as fertilizers, water, and pesticides) are applied precisely according to the actual needs of the crops, at the right time and in the right location within the field.
Characteristics of Precision Agriculture
Data and Technology Driven
Relies on data collected through sensors, drones, satellites, and IoT devices.
Helps farmers make accurate, evidence-based decisions (data-driven decisions).
Site-Specific Management
Recognizes that different parts of a field may have different requirements for water, nutrients, and pest control.
Automation and Real-Time Monitoring
Continuous monitoring of crops, soil, and weather enables timely action.
Key Components
Soil and Crop Sensors: Measure moisture, nutrients, pH levels, and temperature.
GPS and GIS Technology: Provide detailed mapping of farmland.
Drones and Satellite Imaging: Used for aerial crop monitoring and imaging.
Analytical Software and Predictive Models: Analyze data and suggest optimal actions.
Smart Machinery or Autonomous Equipment: Tractors or sprayers that operate with high precision based on input maps.
Advantages of Precision Agriculture
Input cost savings: Reduces waste of fertilizers, water, and pesticides.
Higher and better-quality yields: As crops receive the optimal treatment.
Better risk management: Early detection of issues like diseases or nutrient deficiencies.
Lower environmental impact: Minimizes water and soil pollution.
Challenges
High initial investment: Equipment and training can be costly.
Need for technical skills: In using data and digital tools.
Supporting infrastructure: Requires reliable internet access, technical support, and maintenance services.
Date of Input: 29/06/2025 | Updated: 29/06/2025 | zuraya

Universiti Putra Malaysia
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