In 2016, spray deposit measurements have been carried out according to ISO22522:2007 on a vine estate (Domaine Mas Piquet, 15 ha, Languedoc). On this estate, plots vigor ranges from low to medium compared to other vineyards. On 4 days (28th April, 25th May, 23rd June and 18th July 2016), spray deposition has been measured on 5 plots of different vine varieties chosen for their distinct vigor. Two different sprayers have been used: a low performance sprayer (pneumatic arch sprayer used every 4 rows) and a high performance sprayer (air assisted side by side sprayer). Spray deposition was measured using a tracer (Tartrazine E102) sprayed on sampling 40 cm² PVC collectors placed within the vegetation: on each plot, 4 trees have been sampled for each sprayer. On each tree, collectors were positioned on leaves within the canopy according to a profile perpendicular to the row, following a grid 20 cm high and 10 cm wide with one collector per pixel. A total amount of 3048 collectors have been analyzed individually. The dataset provide the normalized deposit expressed per unit of leaves area for one gram of tracer sprayed per hectare (unit: ng dm−2 for 1 g ha−1) on each collector. In addition, the dataset propose crop parameters measured manually on each sampled tree: inter-row distance, height, average of thickness in order to calculate two crop structure indicators: TRV (Tree Row volume) and LWA (Leaf Wall Area).
Although drift is not a new issue, it deserves further attention for Unmanned Aerial Spraying Systems (UASS). The use of UASS as a spraying tool for Plant Protection Products is currently explored and applied worldwide. They boast different benefits such as reduced applicator exposure, high operating efficiency and are unconcerned by field-related constraints (ground slope, ground resistance). This review summarizes UASS characteristics, spray drift and the factors affecting UASS drift, and further research that still needs to be developed. The distinctive features of UASS comprise the existence of one or more rotors, relatively higher spraying altitude, faster-flying speed, and limited payload. This study highlights that due to most of these features, the drift of UASS may be inevitable. However, this drift could be effectively reduced by optimizing the structural layout of the rotor and spraying system, adjusting the operating parameters, and establishing a drift buffer zone. Further efforts are still necessary to better assess the drift characteristics of UASS, establish drift models from typical models, crops, and climate environments, and discuss standard methods for measuring UASS drift.
The French project Data to Knowledge in Agronomy and Biodiversity (D2KAB) will make available a semantically-enabled French agricultural alert newsletter. In order to describe/annotate crop phenological development stages in the newsletters, we need a specific semantic resource to semantically represent each stages. Several scales already exist to describe plant phenological development stages. BBCH, considered a reference, offers several sets of stages –one per crop called ‘individual scales’–and a general one. The French Wine and Vine Institute (IFV) has aligned several existing scales in order to identify the most useful grapevine development stages for agricultural practices. Unfortunately these scales are not available in a semantic form preventing their use in agricultural semantic applications. In this paper, we present our work of creating an ontological framework for semantic description of plant development stages and transforming specific scales into RDF vocabularies; we introduce the
BBCH-based Plant Phenological Description Ontology
and we illustrate this framework with four scales related to grapevine.
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