| Innovation in the management of phytosanitary issues |
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Code
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119466 |
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Language
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ITA |
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Type of certificate
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Profit certificate
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| Module:
(objectives)
The aim of the course is to provide the basis for learning how to assess and monitor pest (entomology module) and pathogen (pathology module) risks using advanced techniques, including monitoring and forecasting systems, and innovative diagnostic tools. At the end of the course, students will be able to develop innovative and sustainable pest management strategies, integrating biological, chemical and cultural techniques. They will acquire skills in the use of advanced technologies to improve the effectiveness and efficiency of plant health practices and develop communication skills to effectively transfer knowledge and innovations in plant health to different stakeholders, including farmers, technicians and land managers.
Knowledge and understanding
Demonstrate a thorough knowledge of the theories and principles governing plant health issues and the innovative solutions available to manage them.
Applying knowledge and understanding
Apply theoretical and methodological knowledge to the diagnosis and management of concrete phytosanitary problems, using advanced technological tools.
Making judgements
Make autonomous and critical judgements regarding different options for the management of plant health problems, taking into account practical, economic and environmental implications.
Communication skills
Use the correct technical-scientific terminology when describing course topics. Ability to synthesize and communicate effectively to specialists and non-specialists.
Learning skills
Demonstrate the ability to learn independently and continuously, keeping abreast of the latest innovations and developments in the field of pest management.
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Language
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ITA |
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Type of certificate
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Profit certificate
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Credits
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3
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Scientific Disciplinary Sector Code
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AGR/11
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Contact Hours
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24
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Type of Activity
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Core compulsory activities
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Derived from
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119466_1 Entomologia in Digital management of agriculture and mountain areas LM-69 CONTARINI Mario
(syllabus)
1. Importance of integrated insect management
2. Traditional monitoring strategies and potential innovations
3. Decision support systems (DSS)
Mathematical models for the description and prediction of insect populations
Statistical and mathematical models for the study of species distribution (MAXENT, Random Forest etc)
Measurement and estimation of insect populations
Case studies
4. Proximal sensing in monitoring of main insects in agriculture and forestry
Monitoring with automated traps
YOLO technology and machine learning for pests detection and recognition
Case studies
5. Remote sensing in monitoring of main insects in agriculture and forestry
UAVs and sensors, data collection and processing
The use of satellite-collected data for assessing the activity of phytophagous insects
Case studies
6. Apps for insect species recognition (citizen science)
(reference books)
Students will be provided with ppt slides. The study will be integrated with scientific papers provided by the teacher
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
At a distance
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Attendance
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not mandatory
|
|
Evaluation methods
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Oral exam
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|
|
| Module:
(objectives)
The aim of the course is to provide the basis for learning how to assess and monitor pest (entomology module) and pathogen (pathology module) risks using advanced techniques, including monitoring and forecasting systems, and innovative diagnostic tools. At the end of the course, students will be able to develop innovative and sustainable pest management strategies, integrating biological, chemical and cultural techniques. They will acquire skills in the use of advanced technologies to improve the effectiveness and efficiency of plant health practices and develop communication skills to effectively transfer knowledge and innovations in plant health to different stakeholders, including farmers, technicians and land managers.
Knowledge and understanding
Demonstrate a thorough knowledge of the theories and principles governing plant health issues and the innovative solutions available to manage them.
Applying knowledge and understanding
Apply theoretical and methodological knowledge to the diagnosis and management of concrete phytosanitary problems, using advanced technological tools.
Making judgements
Make autonomous and critical judgements regarding different options for the management of plant health problems, taking into account practical, economic and environmental implications.
Communication skills
Use the correct technical-scientific terminology when describing course topics. Ability to synthesize and communicate effectively to specialists and non-specialists.
Learning skills
Demonstrate the ability to learn independently and continuously, keeping abreast of the latest innovations and developments in the field of pest management.
|
|
Language
|
ITA |
|
Type of certificate
|
Profit certificate
|
|
Credits
|
3
|
|
Scientific Disciplinary Sector Code
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AGR/12
|
|
Contact Hours
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24
|
|
Type of Activity
|
Core compulsory activities
|
|
Derived from
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119466_2 Patologia in Digital management of agriculture and mountain areas LM-69 MAZZAGLIA Angelo
(syllabus)
Importance of digital approach and technological innovations in plant disease management.
Detection and monitoring of diseases and pathogens:
• Critical approach to diagnosis: when traditional techniques are enough and when not
• Advanced diagnostic methods:
o immunological techniques (ELISA, DBTIA, Lateral flow, etc.)
o molecular (standard PCR, Real-Time PCR (qPCR), loop-mediated isothermal amplification (LAMP), digital droplet PCR (ddPCR).
o biosensors
Assessment of the incidence of the disease and the damage caused by remote sensing:
satellite images, ultralight aircrafts and drones.
Assessment of structural damages to trees and risk related to plant stability in urban environments and control:
VTA, instrumental diagnosis (resistograph, tomograph, pulse hammer, Pressler’s pacifier, fracking meter, use of infrasound, Ground Probing Radar (GPR), Compressed Air Digging Systems (Air-Spade®, Dendrotherapy).
Bioinformatics approach to understanding pathogen biology through omics sciences (genomics, transcriptomics, proteomics, etc.);
Strategies for disease prevention and management in precision agriculture:
• forecast models
• monitoring networks
• decision support systems (DSS) for plant protection.
Optimization of the distribution of active ingredients: advantages and problems
Latest tools in plant protection:
• the genome editing
• nanotechnologies in plant protection
Disease control and improvement of their resilience to stress through biological agents:
• antagonistic micro-organisms,
• natural microbial communities (endophytes and epiphytes),
• supporting micro-organisms: PGPR and mycorrhizae
(reference books)
On the MOODLE portal the PowerPoint presentations of the lessons are made available, with graphic illustrations, photographs, videos and animations.
It also offers in-depth studies and examples related to some lessons, selection of scientific bibliography on the subject, and a forum for the exchange of views and information with the teacher.
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Dates of beginning and end of teaching activities
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From to |
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Delivery mode
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Traditional
At a distance
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|
Attendance
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not mandatory
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|
Evaluation methods
|
Oral exam
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|
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