Lincoln University

What you'll study

The programme teaches the theory and practice of using technologies such as GPS, remote sensing, unmanned aerial systems, soil and crop sensors, Internet of Things devices and variable-rate application systems to measure and manage spatial and temporal variability on farms. Study typically includes a mix of taught modules, practical field-based work and an independent research project or industry-focused dissertation.

• Precision agriculture principles: concepts of spatial variability, site-specific management and whole-farm decision frameworks.
• Remote sensing and GIS: satellite and drone imagery, image processing, mapping and spatial analysis for crop and soil assessment.
• Sensors and IoT for agriculture: sensor selection, calibration, data acquisition, telemetry and on-farm networks.
• Data analytics and machine learning: statistical methods, time-series analysis, predictive modelling and data visualisation for agronomic decision support.
• Variable rate technology and machinery systems: machine control, prescription mapping and integration of electronic controllers with farm equipment.
• Soil and crop monitoring: soil mapping, nutrient management, phenotyping and sensor-based crop diagnostics.
• Farm systems and sustainability: economic and environmental assessment of precision technologies and their role in sustainable production systems.
• Research project: an independent research thesis or an industry-linked project that applies precision tools to a practical problem on-farm or in agritech development.

Entry requirements

Applicants are expected to hold a relevant bachelor’s degree in agriculture, horticulture, environmental science, engineering, computer science, data science or another related discipline. Relevant professional experience in farming, agronomy, surveying or agricultural technology can strengthen an application. Candidates may be required to submit academic transcripts, a statement of purpose describing their interest in precision agriculture, and references; international applicants will need to demonstrate English language proficiency where English is not their first language.

Career prospects

Graduates leave prepared for roles that sit at the interface of agriculture and technology. Typical career paths include:

• Precision agriculture consultant or specialist advising farms and agribusinesses on technology adoption and data-driven management.
• Agronomist or crop systems manager using spatial data and sensor information to improve productivity and resource efficiency.
• Data analyst or data scientist within agri‑tech companies, focusing on sensor data, remote sensing and predictive models.
• Product development or technical roles in manufacturers of sensors, machinery automation and farm management software.
• Research and development roles in universities, Crown Research Institutes or private sector R&D teams; progression to PhD study is also common.
• Extension and policy roles with government agencies or industry bodies promoting sustainable and precision practices.

Why study at Lincoln University

Lincoln University is New Zealand’s specialist land-based university with a strong focus on farming systems, agrifood innovation and applied research. The campus offers practical learning on experimental farms and access to dedicated labs for GIS, remote sensing and sensor testing. The university has established links with agritech providers, research organisations and regional farms, providing opportunities for field trials, industry projects and professional networking. The programme’s applied emphasis prepares graduates to implement precision tools in commercial and research settings to improve productivity and environmental outcomes.