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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Agroecology & Plant Health
Semester:
1st Semester
Teaching Languages:
English
Campus:
Rehovot
Course/Module Coordinator:
Yael Heifetz
Coordinator Office Hours:
By appointment
Teaching Staff:
Dr. Yael Heifetz,
Prof. Kavya Dashora
Course/Module description:
The course aims to address the advances in plant protection
starting from the basic definition and historical overview, discussing about
various methods of managing the pests by chemical, physical and biological
methods. The course will cover the modern technologies including Omics
with special reference to PGPRs; more topics like marker assisted selection,
genome wide assisted selection and RNA sequencing techniques will
elaborate on how modern techniques in plant protection are facilitation
detailed taxonomic investigation, characterization and identification of the
pest.
The next topic of use of Artificial intelligence and machine learning will help
the students to apply different models to predict the diseases forecast,
yield, crop loss and its impact on food security, importance of data
collection and application of sensor technologies for it. In AI, mainly the
advantages of image processing will be taught , bad imaging, noisy data,
removing the noise, otsu method, etc. for training and testing pest
detection models.
Course/Module aims:
The course will cover the journey of plant protection so far and the
future to detect, characterize manage and prevent plant pests as much as
possible for preventing the food loss and make more food available.
Learning outcomes - On successful completion of this module, students should be able to:
1. Classical Plant Protection Methods
2. Omics Technologies in Plant Protection
3. AI and Machine Learning Models in Plant Protection
Attendance requirements(%):
100
Teaching arrangement and method of instruction:
Lectures
case studies
Course/Module Content:
A. Classical Plant Protection Methods
1. Introduction to Plant Protection
2. Chemical Control Methods
3. Biological Control Methods
4. Physical and Cultural Control Methods
B. Omics Technologies in Plant Protection
1. Introduction to Omics Technologies
2. Genomics in Plant Protection
3. Transcriptomics and Gene Expression Analysis
4. Proteomics and Metabolomics
5. Omics Technologies in Disease Resistance Breeding
C. AI and Machine Learning Models in Plant Protection
1. Introduction to AI and Machine Learning
2. AI and ML Applications in Pest Detection and Diagnosis
3. Predictive Modelling for Pest and Disease Management
4. Precision Agriculture and Decision Support Systems
5. Challenges and Future Directions
Required Reading:
Will be given during the course
Additional Reading Material:
Grading Scheme :
Essay / Project / Final Assignment / Home Exam / Referat 40 %
Presentation / Poster Presentation / Lecture/ Seminar / Pro-seminar / Research proposal 40 %
Active Participation / Team Assignment 10 %
Attendance / Participation in Field Excursion 10 %
Additional information:
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