Mileos® is the reference decision support tool in France to manage the risk of potato powdery mildew (Phytophthora infestans) developed by ARVALIS - Institut du végétal. By combining two tools (Mildi-LIS and MilPV), OAD Mileos® benefits from 10 years of research and continuous improvement. In 2018, more than 5,000 plots of land on Mileos® in France were followed by 1,500 users. The tool is available on the web and as a mobile application to help farmers manage late blight risks. The epidemiological model Mileos® is divided into 4 segments: contamination and survival of spores in the environment, which can either germinate or contaminate, survive or die; incubation and possible sporulation of each contaminant; modelling of real sporulation; spore dispersal.
Margaret (previously named Thales) is an artificial intelligence platform 100% oriented to the entire agri-food value chain. At the farm level, Margaret allows the farmer to integrate multiple IoT devices from the same or different vendors into one solution, after data standarization. By combining IoT devices, information from the farm operations and AI, growers can easily identify the pest or disease and therefore can get the list of authorized plant protection product suggestions without any classification or product recommendation from a specific crop protection company. This is among many other capabilities, such as harvest prediction or the integration of different market information sources.
Scan Bean is an agro-climatic model simulating the Sclerotinia risk level to bean crops to decide when make fungicide applications to each crop. The DSS operates throughout the crop cycle and calculates the risk of petal contamination on a daily basis based on the climatology and agronomic data of the plot. It has been developed in collaboration with Unilet since 2009.
Using a mobile application and a range of connected agro-weather sensors, Weenat offers farmers reliable and easy to use solutions to monitor in real time the weather and agronomic conditions of their fields from sowing to harvesting. Weenat sensors are compatible with more than 20 reference DADs (decision support tools) on the market. The compatible tools include Scan Bean which is a diagnostic tool created by Syngenta to reason interventions against bean sclerotinia based on agroclimatic modelling and Semiloni which is intended to position phytosanitary treatments at the times when they are most necessary and most effective.
Farmapp has developed an Integrated Pest Management (IPM) software-based service for crops. The software includes a combination of scouting and fumigation apps with sensors and brings automation (IOT) devices to the agriculture sector. There is a scouting app - a mobile app on iOS and Android to monitor the crop; there are opportunities to automate your greenhouse using insights from pests and diseases; and a spray diary – to understand where and how the agro-chemicals are applied.
xarvio™ SCOUTING is developed for agronomists and farmers to automatically identify problems in their crops. Users can just take a picture and instantly receive a result. SCOUTING supports more than 50 crops globally and helps growers to document in-field stress easily. xarvio SCOUTING supports six different activities from seeding to harvest: Weed Identification, Disease Recognition, Nitrogen Status, Yellow Trap Analysis, Leaf Damage Emergence Analysis.
Natutec Scout is a platform to quickly and easily provide insight into the status of a greenhouse. Growers can use the mobile app to collect data and perform extensive analyses using the dashboard. This allows them to see at any moment what is happening in the greenhouse and intervene when necessary, resulting in healthy crops. Growers can use graphs to view how pests and diseases respond to biological control so that they can intervene where necessary. For this, they can compare different periods or areas in the greenhouse. They can also use heatmaps to identify infestation hotspots for quick intervention.
The aim of CropDiagnosis mobile application is the integrated management of pathogens from the successful recognition of the problem, to the selection and application of the appropriate plant protection products. Initially, it is necessary to enter certain basic information such as location, type of crop and stage of development, soil, etc. The user then analyzes the condition of the plant (leaves, flowers, fruits, etc.) through a questionnaire consisting primarily of images. In this way CropDiagnosis results in the diagnosis of pathogenesis. Currently, CropDiagnosis is launched in the Google Play Store in the Greek and English languages.
The Pessl Instruments models have been developed to provide the best information possible and allow you to make a conscious decision and use the best tools to produce more, both in terms of quantity and quality. The majority of them are a result of international scientific cooperation with research institutes and universities over the last 30 years. Having been used by farmers for several years in different climates and environments, they have proven their efficiency over time. Pessl Instruments has more than 80 disease models for more than 35 crops, which can be accessed directly through the FieldClimate.com platform. To offer full support of plant protection management we offer high precision, localized weather forecast, calibrated on the basis of on-site data, in collaboration with the Swiss partner Meteoblue. A forecast of all major meteorological variables and other agronomic information, plant protection window, is available on an hourly basis for 7 days, along with real-time data when you access the service on FieldClimate.com.
iSCOUT® is an insect trap with integrated electronics (camera system, modem, power source with solar panel) and sticky plate. It can be hung wherever in the field it is needed, due to its low weight. In the field, the device is self-sufficient, as it is powered by a solar panel and a battery. A 10 MP camera takes high-resolution pictures of the sticky plate within the iSCOUT® trap. Images are sent via LTE to the FieldClimate platform where they are analyzed with AI (artificial intelligence) software. The results are then visible on web or mobile devices. As a result, we see the photo with rectangles around the target insect, as well as summarized data of the daily count, targets in total and development of insect population during the season. Control is real-time and the collected data can be used for further analysis.
