The way the readings taken from Sencrop stations are measured comes from considering theory and scientific rigor as much as the experience of our users. New functions are constantly under development to improve their precision, coming as close as possible to the reality and problems faced by farmers.
Collection
The concept of the Leafcrop wetness detector rests on biomimicry, i.e. the imitation of the natural world by technology. The sensor has been designed to provide values as close as possible to the reality experienced by a tree or vine stock.
The wetness sensor is made in the shape of a leaf. The leaf wetness corresponds to the quantity of free water on the surface of the leaf; in other words, whether it is damp or not. This data is fundamental in the prevention and defense against disease, particularly fungal (mildew, scab, etc.).
Water is detected by sensing modifications in an electric field. The Leafcrop detects variations in its electric field with great sensitivity. The decision to opt for an electric field rather than paper means moisture is detected from the first drop of water, rather than waiting for a piece of paper to absorb a sufficient amount. This solution avoids the use of consumables, reducing the maintenance of the product.
To get the collection of data as precise as possible make sure your Leafcrop is clean.
Readings
A research project has been conducted over four months on the topic of ‘Leaf Wetness Duration Modelling Using Adaptive Neuro Fuzzy Inference System’. It was observed that the main difference between the true duration of wetness and what was measured by the Leafcrop was 7 minutes and 30 seconds. This will make it the most accurate leaf wetness indicator on the market at the present time.
Your Leafcrop produces a measure of leaf conductivity every 3 minutes. In the app, we are displaying the period (in minutes) over which the leaf conductivity had a precise value.
Low level | 335 - 449 mV |
Medium level | 450 - 699 mV |
High level | 700 - ∞ mV |
That way we are able to collect the level of wetness actually on the leaf of your crops.
This will help you prevent foliar diseases (mildew, powdery mildew, scab…), spray at the best time, and prevent the risk of frost.
Sources
ABDULLAH, Fatthy Amir, 2016. Leaf Wetness Duration Modelling Using Adaptive Neuro Fuzzy Inference System.
WORLD METEOROLOGICAL ORGANIZATION (WMO), 2021. Guide to Instruments and Methods of Observation. ISBN 978-92-63-10008-5.