Smart Farming detailed syllabus for Instrumentation & Control Engineering (ICE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ICE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Instrumentation & Control Engineering 5th Sem scheme and its subjects, do visit ICE 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to ICE Professional Elective-I syllabus scheme. The detailed syllabus of smart farming is as follows.
Course Objectives:
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Unit I
INTRODUCTION
History of Precision farming- Sensing Technology- Control Algorithm- Yield Monitoring- Soil Property Sensing- Acquisition through Remote Sensing- Crop Information- Farmland Data-Spatial Sensing- Temporal Sensing- Feedback Control.
Unit I
MACHINE LEARNING IN AGRICULTURE
Machine Learning in Agriculture- Deep Learning in Agriculture- Yield prediction- Weed DetectionIrrigation Management- Discrimination between Weed and Crop- Forecasting stages.
Unit III
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Unit IV
DRONES IN AGRICULTURE
Drones in Agriculture- Agricultural Drones- Types of Drones and Classifications – Definitions and Terminologies- Study of Natural Resources and Vegetation- Mapping and Monitoring.
Unit V
AGRICULTURE 5.0
Introduction to Agriculture 4.0- Remote Sensing- Application of Nanotechnology in AgricultureRole of Big data- Hurdles faced by Farmers in Adopting- Current Policy Trends and Regulation.
Skill Development Activities
(Group Seminar/Mini Project/Assignment/Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)
- Taking Local area to implement simple closed loop system for irrigation and water management.
- Using Machine Learning to forecast weather and predicting yield for particular field with previous data.
- Mapping and Monitoring of particular area.
- Drafting a policy and protocol to adopt farmers to new technologies.
Course Outcomes:
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Text Books:
- Latief Ahmad, Firasath Nabi, �Agriculture 5.0 – Artificial Intelligence, IoT and Machine earning�, CRC Press, 2021.
- Qin Zhang, �Precision Agriculture Technology for Crop Farming�, CRC Press, 2016.
Reference Books:
- Govind Singh Patel, �Smart Agriculture�, CRC Press, 2021.
- Ajith Abraham, Sujata Dash, Joel J.P.C.Rodrigues, �AI Edge and IoT based smart agriculture�, 2021, Elsevier
- Amitava Choudhury, Arindam Biswas, T.P.Singh, Santanu Kumar Ghosh, �Smart Agriculture Automation using Advanced Technologies�, 2021, Springer
- https://onlinecourses.nptel.ac.in/noc22_bt25/preview
- https://www.intechopen.com/chapters/76652
- https://1lib.in/book/5402770/65c33e?dsource=recommend
- https://1lib.in/book/3581147/d6c544?dsource=recommend
- https://archive.nptel.ac.in/courses/126/104/126104002/
List of Open – Source Software/ Learning website:
IoT VERTICAL
For detailed syllabus of all the other subjects of Instrumentation & Control Engineering 5th Sem, visit ICE 5th Sem subject syllabuses for 2021 regulation.
For all Instrumentation & Control Engineering results, visit Anna University ICE all semester results direct link.