From ed62baba50f272baaf28d811e5102b5054e458b5 Mon Sep 17 00:00:00 2001
From: emilyf11 <89915168+emilyf11@users.noreply.github.com>
Date: Tue, 12 Oct 2021 10:30:02 -0500
Subject: [PATCH] Lesson 18 that to than - in Introduction (#325)

---
 4-manufacturing/lessons/4-trigger-fruit-detector/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/4-manufacturing/lessons/4-trigger-fruit-detector/README.md b/4-manufacturing/lessons/4-trigger-fruit-detector/README.md
index addc74d..51b0c3e 100644
--- a/4-manufacturing/lessons/4-trigger-fruit-detector/README.md
+++ b/4-manufacturing/lessons/4-trigger-fruit-detector/README.md
@@ -10,7 +10,7 @@
 
 ## Introduction
 
-An IoT application is not just a single device capturing data and sending it to the cloud, it is more often that not multiple devices all working together to capture data from the physical world using sensors, make decisions based off that data, and interacting back with the physical world via actuators or visualizations.
+An IoT application is not just a single device capturing data and sending it to the cloud, it is more often than not multiple devices all working together to capture data from the physical world using sensors, make decisions based off that data, and interacting back with the physical world via actuators or visualizations.
 
 In this lesson you will learn more about architecting complex IoT applications, incorporating multiple sensors, multiple cloud services to analyze and store data, and showing a response via an actuator. You will learn how to architect a fruit quality control system prototype, including about using proximity sensors to trigger the IoT application, and what the architecture of this prototype would be.