Precision agriculture for processing vegetables to improve the management of water, fertilizer and pesticides
Improve the management of growing techniques, in order to bring the crops to make the most of their potential, both in terms of production and quality, with a specific attention ro all the aspects linked to environmental performance. Quantify, on the basis of the new growing techniques introduced, the environmental burdens and potential impacts associated with a product / process / activity along the entire life cycle, from acquisition of materials (LCA).
- Assessment of the impact of climate change on current growing techniques in order to process medium-term adaptation strategies in terms of management and Genetics (ideotyping).
- Adjustment of forecasting models for the risk of infection by pathogenic fungi and animals, to crop-pathogen couples identified.
- Development of APP for reading the LAI to estimate the critical concentration of nitrogen and the assessment of the necessity of fertilization LCA study.
Objective
Definition of " best practices " specific for culture and area, as well as the implementation of IT support to process the factors ( soil quality, temperature, rainfall, soil moisture, level of plant growth, pesticides , etc . ) to be defined with a management choice to provide the producer with precise directions of intervention on the field.
The use of software weighted for crop and soil and climatic environment, will improve the production efficiency of each cultivation, in terms of quality and quantity, and in environmental impact.
Description of activities
The following outputs are expected with specific reference to tomato crops, sweet corn, peas and “borlotti” beans:
• Identify the characteristics of the crops to focus on for the selection/breeding activities and the potential to increases in yield, especially for aspects already subject of breeding programs;
• Definition of ideotypes in silico for the identified traits, considering the characteristics of the germplasm available and the known genetic variation range. This approach allows the definition and analysis of ideotypes potentially achievable in vivo;
• Guidelines for improved crop management with a focus on a targeted and timely use of inputs (water, fertilizer, pesticides) for a less polluting impact and greater water savings.
• LCA analysis for verification of the effectiveness of the proposed models.
• Evaluation of the productive performance of ideotypes as defined in the targeted area and climate change scenarios
The result, in terms of improvement of water resources and management of fertilizers and pesticides management, will be given by the application in field of the guidelines and the introduction of improved ideotypes for the study areas.
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Agricoltura di precisione sulle colture orticole industriali per migliorare la gestione delle risorse idriche, dei fertilizzanti e dei pesticidi
Nella Task 1 del progetto, è stato scelto e adattato il modello di simulazione STICS per studiare i sistemi colturali di interesse, tra cui il borlotto, il pisello da industria…