Remote and Proximal Sensing Applications for Durum Wheat Nutritional Status Detection in Mediterranean Area

Fiorentini, Marco; Zenobi, Stefano; Orsini, Roberto

doi:10.3390/agriculture11010039

Cited by 17 publications

(22 citation statements)

References 71 publications

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“…This could likely be ascribable to the higher organic matter (+24.7%) and nitrogen availability (+24.6%) present in the NT soil as a consequence of the repeated years of no-tillage management [4]. Conversely, when nitrogen has been supplied to a crop, differences among soil managements are flattened, as reported by Fiorentini et al [35]. In particular, no significant difference was reported between NT0-NT1 and CT0-NT1 in terms of the number of kernels per spike and grain yield (t ha −1 ), with average values respectively of 31 and 3.85 t ha −1 .…”

Section: Discussionmentioning

confidence: 74%

“…Raw IR spectra were converted in absorbance mode and vector normalized, and then submitted to multivariate analysis in the R statistical environment. Principal component analysis (PCA) was performed to compare the following spectral populations: l-NT0/l-MT0/l-CT0 at ZS 22, ZS 35…”

Section: Atr-ftir Measurements and Data Analysismentioning

confidence: 99%

“…22, ZS35 and ZS 60) and caryopses (collected at ZS 60 and ZS 92) with respect to the experimental site. In leaves, a different distribution of LIP, PRT and CE was observed in the different soil tillage methods at ZS 22 and ZS 35, whereas at ZS 60 a more homogeneous distribution was found, supporting the findings of both PCA and biochemical composition analyses.…”

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confidence: 99%

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A Spectroscopic Approach to Evaluate the Effects of Different Soil Tillage Methods and Nitrogen Fertilization Levels on the Biochemical Composition of Durum Wheat (Triticum turgidum subsp. durum) Leaves and Caryopses

et al. 2021

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The agricultural sector is required to produce food at the same pace as population growth, while accounting for pollution and costs. For this reason, conservative agricultural practices have been employed worldwide. Attenuated Total Reflectance–Fourier Transform Infrared (ATR-FTIR) spectroscopy has the ability to provide a snapshot of the macromolecular composition of a sample in a timely and cost-effective way and it has been widely applied in the field of agriculture to assess food quality. The aim of this study was to exploit ATR-FTIR spectroscopy to assess the impact of different soil tillage methods (conventional tillage, CT; minimum tillage, MT, and no tillage, NT) and nitrogen fertilization levels (0, 90 and 180 kg N ha−1) on the macromolecular composition of leaves and caryopses of durum wheat (Triticum turgidum subsp. durum). The analysis of the spectral data revealed that the quality of durum wheat, in terms of protein content, grown on soil with no tillage was not reduced. Indeed, with regards to caryopses, the different tillage methods influenced only the lipid and hemicellulose content, whereas the macromolecular composition of leaves was sensitive to tillage methods mostly during the early stage of growth. Moreover, no relevant effects were found in leaves and caryopses when different fertilizer concentrations were used. These results provide important knowledge supporting the adoption of both no-tillage soil treatments and reduced fertilization dosage for the development of durum wheat management strategies and support the use of spectroscopy for conservative agriculture practices.

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Section: Discussionmentioning

confidence: 74%

Section: Atr-ftir Measurements and Data Analysismentioning

confidence: 99%

mentioning

confidence: 99%

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A Spectroscopic Approach to Evaluate the Effects of Different Soil Tillage Methods and Nitrogen Fertilization Levels on the Biochemical Composition of Durum Wheat (Triticum turgidum subsp. durum) Leaves and Caryopses

et al. 2021

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“…The higher the N input is applied to the crop, the greater the biomass produced by the crop for each year, site, and phenological stage under analysis (Pro et al, 2021). This pattern of crop development was also detected by remote and proximal sensing tools (Fiorentini et al, 2021). These tools can be used to continuously monitor the spatial-temporal variability during the entire growing season, which is fundamental to the SSM applications.…”

Section: Remote-proximal Sensing and Crop Variablesmentioning

confidence: 91%

Automatic zone management definition in Mediterranean environment for Triticum durum

Orsini,

Fiorentini,

Zenobi

et al. 2023

Agrosystems Geosci & Env

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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.

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“…These visual perception devices increase productivity by predicting or reporting any negative changes observed in the growing environment; examples include proximal sensors for nitrogen management or optical sensors used to remotely diagnose plant diseases via smartphone applications. [ 10–13 ]…”

Section: Introductionmentioning

confidence: 99%

A Roadmap from Functional Materials to Plant Health Monitoring (PHM)

Babangida,

Uddin,

Stephen

et al. 2023

Macromolecular Bioscience

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Soft bioelectronics have great potential for the early diagnosis of plant diseases and the mitigation of adverse outcomes such as reduced crop yields and stunted growth. Over the past decade, bioelectronic interfaces have evolved into miniaturized conformal electronic devices that integrate flexible monitoring systems with advanced electronic functionality. This development is largely attributable to advances in materials science, and micro/nanofabrication technology. The approach uses the mechanical and electronic properties of functional materials (polymer substrates and sensing elements) to create interfaces for plant monitoring. In addition to ensuring biocompatibility, several other factors need to be considered when developing these interfaces. These include the choice of materials, fabrication techniques, precision, electrical performance, and mechanical stability. In this review, some of the benefits plants can derive from several of the materials used to develop soft bioelectronic interfaces are discussed. The article describes how they can be used to create biocompatible monitoring devices that can enhance plant growth and health. Evaluation of these devices also takes into account features that ensure their long‐term durability, sensitivity, and reliability. This article concludes with a discussion of the development of reliable soft bioelectronic systems for plants, which has the potential to advance the field of bioelectronics.

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Remote and Proximal Sensing Applications for Durum Wheat Nutritional Status Detection in Mediterranean Area

Cited by 17 publications

References 71 publications

A Spectroscopic Approach to Evaluate the Effects of Different Soil Tillage Methods and Nitrogen Fertilization Levels on the Biochemical Composition of Durum Wheat (Triticum turgidum subsp. durum) Leaves and Caryopses

A Spectroscopic Approach to Evaluate the Effects of Different Soil Tillage Methods and Nitrogen Fertilization Levels on the Biochemical Composition of Durum Wheat (Triticum turgidum subsp. durum) Leaves and Caryopses

Automatic zone management definition in Mediterranean environment for Triticum durum

A Roadmap from Functional Materials to Plant Health Monitoring (PHM)

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