Agricultural Data Types and AI Analysis

Vocabulary flashcards covering types of agricultural data and AI techniques for processing unstructured data based on the lecture transcript.

Quantitative Data

Numerical data in agriculture that can be measured, compared, averaged, and calculated, such as Temperature ($29\,^{\circ}\text{C}$), Soil moisture ($35\%$), Crop height ($60\,\text{cm}$), Yield ($5\,\text{t/ha}$), and Rainfall ($20\,\text{mm}$).

Qualitative Data

Non-numerical data describing qualities, characteristics, or categories, such as Soil type (clay/sandy), Crop condition (healthy/stressed), and Pest level (low/medium/high).

Qualitative Data Conversion

The process of converting qualitative data into numerical category codes (e.g., Healthy = $0$, Diseased = $1$) for computer analysis, where numbers represent categories rather than quantities or measurable amounts.

Structured Data

Data organized in a regular, standardized format—such as tables with rows and columns—making it easy for computers to store, query, and analyze.

Unstructured Data

Complex data in agriculture that does not fit into regular rows and columns, such as leaf/drone images, satellite imagery, livestock audio, written field notes, and farmer interviews.

Computer Vision

An AI method used to analyze unstructured agricultural data such as drone/satellite images and plant photos.

Speech Recognition

An AI method used to analyze unstructured agricultural data such as livestock audio recordings.

Natural Language Processing (NLP)

An AI method used to analyze unstructured agricultural data such as written field notes and farmer interviews.

Time-Series Data

Data collected repeatedly over time (e.g., daily soil moisture, hourly temperature) that helps identify trends, cycles, sudden changes, long-term patterns, and future outcomes.

Spatial Data

Information tied to specific geographical locations (e.g., GPS tractor coordinates, field boundaries, soil nutrient maps), which is vital for precision agriculture because field conditions vary across different areas.