Knowledge: climate variables and their dynamics; relationships between climate and agricultural crops; monitoring and analysis techniques; main implications of climate change. Tools and methodologies for monitoring and…
Scheda dell'insegnamento
Obiettivi formativi
Knowledge: climate variables and their dynamics; relationships between climate and agricultural crops; monitoring and analysis techniques; main implications of climate change. Tools and methodologies for monitoring and studying climate and its relationship with crop development and growth.
The module develops an integrated, systems-oriented understanding of agronomy in tropical and subtropical farming contexts. It focuses on diagnosis, interpretation of evidence, context-specific management and the redesign of farming systems under resource, environmental and institutional constraints.
Knowledge and understanding: Students will understand how soil, crops, climate, management and farm resources interact to determine productivity, stability and sustainability. They will recognize soil-health functions, field and farm heterogeneity, crop-livestock interactions, legume functions, conservation-agriculture principles and alternative innovation pathways.
Applying knowledge and understanding: Students will diagnose agronomic problems, interpret articles, figures and simplified datasets, compare feasible management options and formulate conditional recommendations for real farming systems.
Making judgements: Students will distinguish observations, mechanisms, evidence, assumptions and uncertainty. They will assess trade-offs involving yield, food security, soil functions, labour, livestock, risk and access to resources, and identify conditions that may require a recommendation to be revised.
Communication skills: Students will communicate agronomic reasoning concisely through group discussion, peer review and short presentations, using appropriate disciplinary language.
Learning skills: Students will develop the ability to read scientific literature critically, transfer concepts cautiously between contexts, monitor outcomes and update decisions when new evidence or changing conditions emerge.
The module provides students with a comprehensive understanding of the most up-to-date and innovative knowledge and skills related to Land Suitability Analysis, i.e., the study and tools for determining the suitability of land for agriculture by considering crop, soil, and climate factors. Specifically, upon completion of the course, students will achieve the following learning objectives:
Knowledge and understanding: students will acquire advanced knowledge of the fundamentals, principles, tools, and procedures (based on GIS, remote and proximal sensing, and data retrievement) for Land Suitability Analysis, according to the Land Evaluation FAO framework.
Applying Knowledge and Understanding: students will apply their knowledge to retrieve and process the information for the Land Suitability Analysis, by using different tools, methods, and procedures (e.g., soil, climate, crop characteristics, etc.; FAO, COPERNICUS platforms; GIS software, Sentinel products and UAVs).
Making judgments: Students will develop independent critical thinking skills, enabling them to evaluate scientific sources, interpret collected information, and evaluate the results to assess their agronomic and environmental implications.
Communication skills: Students will learn to effectively communicate key concepts for Land Suitability Analysis techniques, correlating and connecting the knowledge acquired.
Learning skills: Students will be able to connect the knowledge and skills acquired to their professional practice.
Programma
Lessons: Basics of meteorology and climatology: Atmospheric composition, Weather and climate, Climatology, Agro-climatology. Agro-climatic parameters: radiation, air/soil temperature and humidity, precipitation, evapotranspiration. Climate and agricultural crops. Climate change trends. Crop modeling. Exercises: Seminars by industry experts, visits to agroclimatology laboratories (e.g., Lamma).
Agronomy for tropical and subtropical agriculture: agronomic diagnosis; soil health and indicator selection; integrated soil fertility management; farm and field heterogeneity; allocation of scarce resources; interpretation of on-farm variability; legumes and intercropping; conservation agriculture; trade-offs and best-fit recommendations; innovation pathways; farming-system redesign, monitoring and adaptive management.
The module provides students with an integrated understanding of the FAO framework, the principles for the treatment of geographic data, remote sensing, the main methodologies, tools for the management of systems, Introduction to agro-ecological zoning and the FAO Global Agroecological Zoning (GAEZ) tool, and other frameworks.
Modalità d'esame
Assessment method:
written test with multiple-choice questions.
Assessment: Ability to reason on the topics covered in class.
Tabella docimologica di valutazione
Insufficiente
Valutazione negativa dovuta a gravi errori concettuali, comprensione frammentaria o nulla degli argomenti trattati, incapacità di applicare le conoscenze, gravi lacune e mancanza di autonomia.
18–22
Valutazione sufficiente o più che sufficiente dovuta a conoscenza elementare degli argomenti, presenza di alcuni errori, capacità di affrontare solo compiti semplici o guidati, livello base di autonomia.
23–25
Valutazione discreta dovuta a comprensione soddisfacente degli argomenti, capacità di applicare correttamente le conoscenze a contesti noti e di affrontare gli esercizi in modo autonomo con qualche imprecisione, con un soddisfacente livello di autonomia e competenza operativa.
26–28
Valutazione buona o molto buona, dovuta a solida comprensione teorica della disciplina, capacità di collegare concetti, risolvere problemi e proporre analisi critiche, di svolgere compiti complessi in modo autonomo, preciso ed efficace, con un buon livello di autonomia e competenza operativa.
29–30 e Lode
Valutazione eccellente o ottima, dovuta a conoscenze complete, approfondite e ben strutturate, capacità di operare in modo autonomo e flessibile, anche in contesti complessi o nuovi, di utilizzare il linguaggio disciplinare in modo appropriato, preciso e articolato, di evidenziare capacità critiche, originalità e rigore nell’esposizione e nell’applicazione.
La Lode è attribuita a elaborati o prestazioni che si distinguono per brillantezza e originalità, anche al di là delle aspettative curricolari.
The final assessment is individual and is the same for attending and non-attending students.
The assessment consists of: (1) presentation of a farming-system case using four slides: context, agronomic diagnosis, alternative options and a conditional recommendation; (2) discussion on agronomic mechanisms, evidence, feasibility, trade-offs, monitoring and uncertainty; and (3) interpretation of a new agronomic case, figure or dataset.
Attending students may start from the case developed with their group, but each student must be able to explain and defend the complete argument independently. Non-attending students prepare an individual case using the same four-slide structure.
Assessment criteria: agronomic diagnosis, 30%; use of evidence and concepts, 25%; feasibility and analysis of trade-offs, 25%; conditional reasoning and communication, 20%.
Assessment Criteria and Grading Rubric
Fail (Insufficient)
Negative evaluation due to serious conceptual errors, fragmentary or non-existent understanding of the subject matter, inability to apply knowledge, major gaps, and a lack of independence.
18–22
Sufficient or more than sufficient evaluation due to elementary knowledge of the topics, the presence of some errors, the ability to handle only simple or guided tasks, and a basic level of independence.
23–25
Satisfactory evaluation due to a satisfactory understanding of the topics, the ability to correctly apply knowledge to familiar contexts, and the ability to complete exercises independently with some inaccuracies; demonstrates a satisfactory level of independence and operational competence.
26–28
Good or very good evaluation due to a solid theoretical understanding of the discipline, the ability to connect concepts, solve problems, and provide critical analysis; ability to perform complex tasks independently, precisely, and effectively, with a good level of independence and operational competence.
29–30 and Honors (Lode)Excellent or outstanding evaluation due to complete, in-depth, and well-structured knowledge; the ability to operate independently and flexibly even in complex or new contexts; appropriate, precise, and articulate use of specialized terminology; demonstrates critical thinking, originality, and rigor in both presentation and application.
Honors (Laude) is awarded for work or performance distinguished by brilliance and originality, exceeding standard curricular expectations.
To assess the knowledge and skills acquired, two examination methods are foreseen and only one shall be chosen by the student:
1. A MULTI-CHOICE QUESTIONNAIRE on the topics covered. This test will consist of 16 questions, each with three alternative choices, only one choice is correct. The written exam score will be determined by awarding two points for each correct answer and zero points for any incorrect or unanswered questions. A distinction (or "lode") will be awarded for answering all questions correctly.
OR
2. AN ORAL PRESENTATION of an exercise on Crop suitability analysis by using either with Qgis or GAEZ platform. The evaluation criteria for this type of exam will be the student's autonomy in completing the exercise and their ability to structure the exercise effectively.
The grade obtained in the Land Suitability Analysis module will be counted towards the final grade for the Climate Smart Agronomy and Land Management course as a weighted average.
Tabella docimologica di valutazione
Insufficiente
Valutazione negativa dovuta a gravi errori concettuali, comprensione frammentaria o nulla degli argomenti trattati, incapacità di applicare le conoscenze, gravi lacune e mancanza di autonomia.
18–22
Valutazione sufficiente o più che sufficiente dovuta a conoscenza elementare degli argomenti, presenza di alcuni errori, capacità di affrontare solo compiti semplici o guidati, livello base di autonomia.
23–25
Valutazione discreta dovuta a comprensione soddisfacente degli argomenti, capacità di applicare correttamente le conoscenze a contesti noti e di affrontare gli esercizi in modo autonomo con qualche imprecisione, con un soddisfacente livello di autonomia e competenza operativa.
26–28
Valutazione buona o molto buona, dovuta a solida comprensione teorica della disciplina, capacità di collegare concetti, risolvere problemi e proporre analisi critiche, di svolgere compiti complessi in modo autonomo, preciso ed efficace, con un buon livello di autonomia e competenza operativa.
29–30 e Lode
Valutazione eccellente o ottima, dovuta a conoscenze complete, approfondite e ben strutturate, capacità di operare in modo autonomo e flessibile, anche in contesti complessi o nuovi, di utilizzare il linguaggio disciplinare in modo appropriato, preciso e articolato, di evidenziare capacità critiche, originalità e rigore nell’esposizione e nell’applicazione.
La Lode è attribuita a elaborati o prestazioni che si distinguono per brillantezza e originalità, anche al di là delle aspettative curricolari.
Testi di riferimento
Agricultural Meteorology and Climatology (Lalic et al., 2018, Florence University Press)
Handouts distributed during class.
Teaching materials produced by the instructor.
Core scientific readings
Mponela, P. et al. (2026). Soil-health frameworks in agri-food systems: A review.
Vanlauwe, B. et al. (2010). Integrated soil fertility management: Operational definition and consequences for implementation and dissemination.
Giller, K. E. et al. (2011). Communicating complexity: Integrated assessment of trade-offs concerning soil fertility management within African farming systems.
Falconnier, G. N. et al. (2016). Unravelling the causes of variability in crop yields and treatment responses for better tailoring of options in southern Mali.
Giller, K. E. et al. (2015). Beyond conservation agriculture.
Martinez-Ramon, V. et al. (2026). Systems-oriented innovation towards sustainable smallholder mixed farming.
Supplementary references
Ceccon, P., Fagnano, M., Grignani, C., Monti, M. and Orlandini, S. (2017). Agronomia. EDISES, Napoli.
Sheaffer, C. C. et al. (2012). Introduction to Agronomy. Cengage Learning.
Selected sections, figures and reading guides are provided through Moodle. Additional teaching material is prepared by the instructor. Students should consult the bibliography through OneSearch and contact the library for assistance when needed.
Slides provided by the lecture, FAO 2007. Land evaluation - towards a revised framework. FAO Land and water discussion papers. Available in PDF format at http://www.fao.org/3/a-a1080e.pdf IIASA/FAO, 2012. Global Agro-ecological Zones (GAEZ v3.0). IIASA, Laxenburg, Austria and FAO, Rome, Italy. Available at http://www.fao.org/fileadmin/user_upload/gaez/docs/GAEZ_Model_Documentation.pdf https://www.qgis.org/en/docs/index.html Semi-Automatic Classification Plugin for QGIS at https://fromgistors.blogspot.com/p/semi-automatic-classification-plugin.html Slides presented in the class
Codice insegnamento B034751