Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards

Darra, Nicoleta; Psomiadis, Emmanouil; Kasimati, Aikaterini; Anastasiou, A.; Anastasiou, Evangelos; Fountas, Spyros

doi:10.3390/agronomy11040741

Cited by 32 publications

(20 citation statements)

References 85 publications

(141 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, Moral et al [13] developed a predictive model based on soil features to identify homogeneous zones within olive orchards, but the precision and the accuracy of these maps were strictly related to the number of soil samples analysed. The use of remote and proximal sensing technologies for estimating field variability is becoming more and more common in precision agriculture due to their relatively lower cost and the non-invasive approach with respect to conventional methods [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Remote and Proximal Sensing Techniques for Site-Specific Irrigation Management in the Olive Orchard

et al. 2022

View full text Add to dashboard Cite

The aim of this study was to evaluate the potential use of remote and proximal sensing techniques to identify homogeneous zones in a high density irrigated olive (Olea europaea L.) orchard subjected to three irrigation regimes (full irrigation, deficit irrigation and rainfed conditions). An unmanned aerial vehicle equipped with a multispectral camera was used to measure the canopy NDVI and two different proximal soil sensors to map soil spatial variability at high resolution. We identified two clusters of trees showing differences in fruit yield (17.259 and 14.003 kg per tree in Cluster 1 and 2, respectively) and annual TCSA increment (0.26 and 0.24 dm2, respectively). The higher tree productivity measured in Cluster 1 also resulted in a higher water use efficiency for fruit (WUEf of 0.90 g dry weight L−1 H2O) and oil (WUEo of 0.32 g oil L−1 H2O) compared to Cluster 2 (0.67 and 0.27 for WUEf and WUEo, respectively). Remote and proximal sensing technologies allowed to determine that: (i) the effect of different irrigation regimes on tree performance and WUE depended on the location within the orchard; (ii) tree vigour played a major role in determining the final fruit yield under optimal soil water availability, whereas soil features prevailed under rainfed conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Remote and Proximal Sensing Techniques for Site-Specific Irrigation Management in the Olive Orchard

et al. 2022

View full text Add to dashboard Cite

show abstract

“…NDRE (Equation ( 9)) was measured by using the NIR and red-edge band (RE; 705 nm), where RE replaces the red band in the widely used normalized difference vegetation index (NDVI) equation. Compared with the NDVI, the NDRE index as a widely used red-edge-based VI was shown to be more resistant to the saturation problem and is more sensitive than the NDVI to chlorophyll content in vegetation [57].…”

Section: Uavs For Photogrammetric Multispectral and Thermal Measurementsmentioning

confidence: 99%

Integrating Drone Technology into an Innovative Agrometeorological Methodology for the Precise and Real-Time Estimation of Crop Water Requirements

Alexandris

Psomiadis

Proutsos³

et al. 2021

Hydrology

Self Cite

View full text Add to dashboard Cite

Precision agriculture has been at the cutting edge of research during the recent decade, aiming to reduce water consumption and ensure sustainability in agriculture. The proposed methodology was based on the crop water stress index (CWSI) and was applied in Greece within the ongoing research project GreenWaterDrone. The innovative approach combines real spatial data, such as infrared canopy temperature, air temperature, air relative humidity, and thermal infrared image data, taken above the crop field using an aerial micrometeorological station (AMMS) and a thermal (IR) camera installed on an unmanned aerial vehicle (UAV). Following an initial calibration phase, where the ground micrometeorological station (GMMS) was installed in the crop, no equipment needed to be maintained in the field. Aerial and ground measurements were transferred in real time to sophisticated databases and applications over existing mobile networks for further processing and estimation of the actual water requirements of a specific crop at the field level, dynamically alerting/informing local farmers/agronomists of the irrigation necessity and additionally for potential risks concerning their fields. The supported services address farmers’, agricultural scientists’, and local stakeholders’ needs to conform to regional water management and sustainable agriculture policies. As preliminary results of this study, we present indicative original illustrations and data from applying the methodology to assess UAV functionality while aiming to evaluate and standardize all system processes.

show abstract

“…The advantages of proximal sensors are that they use often their own source of energy (i.e., active sensors) minimizing the effects of ambient light conditions on reflectance readings. Moreover, they can be used any time during the growth cycle over open field or closed environments, they are not time-consuming and they can be included in fertilizer decision-making methods [27,28]. One of the most popular tools is the Greenseeker (GS; Trimble Inc., Sunnyvale, CA, USA), that has been commonly used for in-season site-specific N management [29,30].…”

Section: Introductionmentioning

confidence: 99%

Short-term Response of Greenhouse Gas Emissions from Precision Fertilization on Barley

et al. 2022

View full text Add to dashboard Cite

Precision fertilization is a promising mitigation strategy to reduce environmental impacts of N-fertilization, but the effective benefits of variable-rate fertilization have not yet been fully demonstrated. We evaluated the short-term response (23 days) of GHGs emissions following variable-rate fertilization on barley. Yields, biomass (grains + straw) and different N-use indicators (N uptake, grain protein concentration, recovery efficiency, physiological efficiency, partial factor productivity of applied nutrient, agronomic efficiency and N surplus) were compared. Four N fertilization treatments were performed: (i) conventional– 150 kg ha−1; (ii) variable with granular fertilizer; (iii) variable with foliar liquid supplement; (iv) no fertilization. According to proximal sensing analysis (Greenseeker Handheld) and crop needs, both variable-rate treatments accounted for 35 kg N ha−1. Cumulative GHGs emissions were not significantly different, leading to the conclusion that the sensor-based N application might not be a GHGs mitigation strategy in current experimental conditions. Results showed that both site-specific fertilizations ensured the maintenance of high yields with a significant N rate reduction (approximately by 75%) and a N use improvement. Variable-rate N fertilization, due to similar yields (~6 tons ha−1) than conventional fertilization and higher protein content in foliar treatment (14%), confirms its effectiveness to manage N during the later phases of growing season.

show abstract

Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards

Cited by 32 publications

References 85 publications

Remote and Proximal Sensing Techniques for Site-Specific Irrigation Management in the Olive Orchard

Remote and Proximal Sensing Techniques for Site-Specific Irrigation Management in the Olive Orchard

Integrating Drone Technology into an Innovative Agrometeorological Methodology for the Precise and Real-Time Estimation of Crop Water Requirements

Short-term Response of Greenhouse Gas Emissions from Precision Fertilization on Barley

Contact Info

Product

Resources

About