A smart insect trapping IoT device
Step 1: Thanks to the on-board camera and sensors, traps automatically collect daily catch count, identify pest species and measure local environment parameters.
Step 2: Pictures are sent to our servers where species identification and catch counting is automatically performed by our algorithms, then we evaluate catch and meteorological data.
Step 3: Farmers can track flight season curves on a personal online dashboard as well as receive suggestions on ideal defense times to maximize efficiency.
In the framework of OPTIMA H2020 project, a freely accessible DSS has been developed and is accessible in http://dss.optima-h2020.eu/. Pathogens incorporated into the tool are the following, Alternaria leaf blight for carrots, Downy mildew for vineyards, and Apple scab for apple orchards in Spain (Aragon region), France (Bordeaux region), Italy (Piemonte region) and Greece (Thessaly, Evia and Attica regions). The DSS provides users with a 5-day prediction, in an escalation step of 3 hours, of disease outbreak based on meteorological data, which is presented in a coloured interactive map, based on the risk level: Green for no risk (0%), Yellow for low risk, Orange for medium risk, and Red for maximum risk (~100%).
Thus, producers and other stakeholders operating in the agricultural production sector and carrot production can freely access this early prediction system, and consequently organize the agricultural aplications such as spraying applications for their cultivations. This tool enables fast decision-taking that leads to reduced qualitative and quantitative product degradation and yield loss that may derive by severe disease outburst. The additional benefits are the reduced and more cost-effective use of PPPs, the lower residues and the reduced environmental and human health impacts that derive from the over-use of PPPs during spraying applications that may not be needed or/and effective.
CropMonitor Pro provides field-level predictions on growth stage development, pest & disease risk and optimal spray timing using a dedicated weather data feed, advanced risk models and local pest and disease surveillance data. Decision support outputs summarise combined pest and disease risks to crops, indicate the potential need for treatment at key growth stages, and guide optimal treatment timing. Risk prediction and decision support services from CropMonitor Pro include forecasts for all pests and diseases which are important in terms of spray decisions from crop emergence onwards in wheat, oilseed rape and potatoes. Further crop modules and services are in development and will be launched in due course.
Nematool is Bayer's comprehensive solution for monitoring and treatment of nematodes in greenhouse and outdoor crops. With Nematool growers get real-time soil temperature information for better nematode management. The nematool will allow growers to monitor the generation of nematodes in their crop, with warnings of the first clutches of the next generation. Growers will also be able to control the quality of the solarisation processes in their greenhouse. In addition, they will be able to have access at any time to the history of soil temperatures at 20cm with the possibility of downloading detailed reports on the web.
Using industry-grade measures to collect information, we scan and analyze hundreds of millions of trees, providing you with the most comprehensive and dependable metrics per tree. With enhanced visibility and monitoring capabilities, we provide you with the actionable analytics that are revolutionizing farming.
This product consists of IOT equipment with real-time readings of humidity, temperature, leaf temperature, VPD and solar radiation for disease diagnosis.
Metos by Pessl offer a range of disease forecasting models for a variety of crops including vegetables. They are run using data collected by iMetos hardware and run using the Fieldclimate system. There are models for lettuce, onion, tomato and cucumber crops and also oil seed rape. There is also one pest forecasting model for pollen beetle flight days. All Pessl Instruments disease models are based on latest research work and measured with the highest accuracy sensors available. Pessl are also collaborating with leading developers and have established seamless interfaces to third party decision support systems as well (i.e. RIM-PRO, HORTA, ProPlant, Welte, Dacom etc.).
With the help of climatic and soil monitoring and forecasting systems from Pessl growers can:
Farmwave equipment uses vision-based artificial intelligence to add value. Farmwave hardware can be mounted on the header and back of farm machinery to capture, and geo-tag, an image every 5 seconds. For example, the hardware can be mounted on a sprayer and used to take images that assist with: pest and disease identification; plant counts; growth stage (crop height); weed detection (see and spray); % application coverage; nozzle performance.
Digital agronomy solution to identify, analyze and treat early signs of crop threats to make informed decisions, lower costs and maximize yield. Spot the first signs of harmful insects using sub-millimetre resolution imagery to gain precise identification. Early detection and identification of lesions, spots or abnormal crop behaviour. Manage all fields in a single smart platform - imagery, analysis, insights, reports and cross-field comparisons. Be precise in farm spraying with variable rate zones - plan, quantify and export prescriptions. Seems to use drones and satellite images. SmartScout technology is available in Germany, Austria, Switzerland and Bulgaria. Cloud solutions are available globally.
This Plant Health app includes a set of tools to optimize the management of crops with regard to diseases, pests and phytosanitary treatments/spraying. One of the tools available is for disease and pest prediction models. There are a number of models, developed for different types of crops (vineyards, apples, pears, olive trees, etc). These models are based on academic studies and scientific papers and were developed to be available in any country. They mostly rely on weather conditions, after setting up the base parameters of the crop, to indicate the current and future risk of certain diseases/pests and trigger alerts if the risk is High. This is one tool in a larger crop management system.