Lesson Two: Uses, Tools and Processes of Precision AgricultureOverview:Students will be introduced to spatial data that is used in making management decisions in agriculture.
Overview:Students will discover why “variability” is the driving factor behind precision agriculture.
Introduction to Precision Agriculture - Lesson for Day 1 - Definition Activity
Precision Agriculture Basics is three lesson plans to give students a basic understanding of Precision Agriculture. It includes:1. Definition of Precision Agriculture2. Uses, Tools and Processes of Precision Agriculture3. Variability in Precision Agriculture
This is a fourth lesson in computing variable rate prescriptions. This lesson utilizes four different fertilizer products for meeting N, P, K and S needs of a corn crop.
Working as if they are engineers aiming to analyze and then improve data collection devices for precision agriculture, students determine how accurate temperature sensors are by comparing them to each other. Teams record soil temperature data during a class period while making changes to the samples to mimic real-world crop conditions—such as the addition of water and heat and the removal of the heat. Groups analyze their collected data by finding the mean, median, mode, and standard deviation. Then, the class combines all the team data points in order to compare data collected from numerous devices and analyze the accuracy of their recording devices by finding the standard deviation of temperature readings at each minute. By averaging the standard deviations of each minute’s temperature reading, students determine the accuracy of their temperature sensors. Students present their findings and conclusions, including making recommendations for temperature sensor improvements.
This module include three lessons for creating variable rate fertilizer prescriptions.