Automatic zone management definition in Mediterranean environment for Triticum durum

• Published in: Agrosystems, geosciences & environment geosciences & environment, 2023-12, Vol.6 (4), p.n/a
• Main Authors: Orsini, Roberto, Fiorentini, Marco, Zenobi, Stefano, Santilocchi, Rodolfo, Deligios, Paola A., Ledda, Luigi
• Format: Article
• Language: English
• Subjects: Agricultural practices; Agricultural production; Agronomy; Biomass; Data analysis; Design; Design of experiments; Efficiency; Environmental management; Experimental design; Experiments; Farms; Field tests; Nitrogen; Position measurement; Precipitation; Precision farming; Satellite constellations; Satellite imagery; Sensors; Soil analysis; Statistical analysis; Statistics; Triticum durum; Unmanned aerial vehicles; Variance analysis; Wheat
• ISSN: 2639-6696; 2639-6696
• DOI: 10.1002/agg2.20422

Precision agriculture (PA) is an agronomic management that allows the parsimonious use of agronomic inputs according to the crop's actual spatiotemporal needs. The most important agronomic practice of PA is the site‐specific management (SSM) of agronomic inputs. To apply SSM, the number and location of homogeneous zones must be defined. Nowadays, many approaches are used to define the number of zones in an arbitrary and constant way, such as high‐, medium‐, and low‐input zones, without a priori statistical analysis. Two combined field experiments were carried out on durum wheat (Triticum turgidum subsp. durum Desf.) in central Italy to agronomically validate an automatic approach aimed at defining the number and position of the homogeneous zones using multispectral images. For both sites, at stem elongation and anthesis, the dry biomass per square meter and Soil Plant Analysis Development (SPAD) readings were measured, while at crop maturity the yield was measured. This approach uses multispectral images as source data and uses the gap statistic index to determine the correct number of zones. The management zones created were well‐fitted with the experimental design of both sites, and the validation was made by the statistical analysis performed on yield data, SPAD, dry biomass, and normalized difference red edge index with an average difference of 40.2%, 28.5%, 57.5%, and 37.4%, respectively, between the management zones. The approach could be scaled by using the multitemporal multispectral images provided by satellite constellation, which enables farms and societies to take advantage of all the economic and environmental benefits of PA. Core Ideas Multi‐site/year field experiments were carried out on durum wheat in central Italy. Agronomic validation of automatic zone management delineation approach was set up. The management zone well‐fitted with the experimental sites. The approach could be scaled up by using satellite multispectral data.