Foundations of Precision Agriculture and AgriTech: Data, Sensors, and the Science of Site-Specific Farming

Conventional farming applies inputs — seed, fertilizer, water, pesticide — uniformly across a field, even though every field is spatially variable: soil texture, moisture retention, nutrient levels, and yield potential differ across meters. Precision agriculture uses GPS, sensors, remote sensing, and data analytics to manage that variability deliberately — applying the right input, in the right amount, in the right place, at the right time. The result is not just greater efficiency but a fundamentally different relationship between farmer and landscape. This foundational course explains the concepts, technologies, and logic of that relationship. By the end of this course you will be able to explain the core concepts of precision agriculture including spatial variability, site-specific management, and variable-rate technology, describe the major data layers used in precision agriculture (soil mapping, yield maps, remote sensing imagery) and how they are created and interpreted, identify the main hardware technologies including GPS receivers, yield monitors, soil sensors, and agricultural drones, and explain how precision agriculture data flows from collection through analysis to management decision. What you will learn: - Spatial variability in agriculture: why uniform management is often economically and agronomically inefficient - GPS technology in agriculture: how it works, its accuracy levels (sub-meter, RTK), and its applications - Soil sampling and mapping: grid sampling, zone sampling, and the relationship between soil maps and management - Yield monitors and yield mapping: how data is collected, what it represents, and how to read a yield map - Remote sensing for precision agriculture: satellite imagery, NDVI, and the interpretation of crop stress indicators - Agricultural drones: sensor types (RGB, multispectral, thermal), mission planning, and data outputs - Variable-rate technology: how prescription maps translate data into input application instructions - Farm data management: platforms, interoperability, and data ownership considerations The course is organized across five units progressing from spatial variability concepts through the major data and technology layers to data management and decision-making. Each unit provides explanatory readings, case examples from actual precision agriculture operations, and structured reflection prompts. Map interpretation exercises walk you through reading yield maps and soil variability data. This course is educational and informational; operation of GPS-guided machinery, drones, and variable-rate equipment requires appropriate certification, operator training, and compliance with local aviation and agricultural regulations. This course is designed for farmers, agronomists, agricultural students, and agricultural consultants seeking a rigorous introduction to the principles and technologies of precision agriculture. It is suitable for those new to the subject. No prior background in GPS technology or data analysis is required.