Abstract The TSB project is a business led collaborative project involving an SME, Rail Vision Europe Ltd (RVL), a not for profit RTO, Rothamsted Research (RR) & a large crop production company, Certis UK Ltd (CUK) a UK subsidiary of Certis Europe BV. The project will be led by RVL. The project brings together a consortium comprising highly established crop specialists from RR and CUK, and electronic sensor, photonics, data processing and analytics systems specialism from RVL.

Abstract This research proposal specifically targets Campylobacter infection of broiler chickens to demonstrate the utility of this sensor-based detection system in addressing a significant global meat production problem that impacts on animal health and welfare, and human health. Campylobacter jejuni causes >460,000 reported campylobacteriosis cases annually, at a cost to the UK government of >£900 million.

Abstract Potato late blight is one of the world's most devastating crop diseases, responsible for £3.5Bn pa global economic losses (AHDB, 2011). BlightSense will incorporate low-cost, antibody-coated sensing consumables with a proven (Rotarod) air-sampling spore trap, with a view to producing a fully integrated wireless product to be placed at various locations in the field to help map the blight risk.

Abstract Foodborne disease is highlighted as a top priority for the food and beverage industry, responsible for £1.5Bn pa global economic losses (FSA, 2013). Nearly 70% of foodborne disease arises from Campylobacter, Salmonella and E.coli, which are major threats to the health and safety of the food supply chain (FSA, 2014).

Abstract The instrument will form the basis of a distributed detection network, providing real-time information on inoculum movement, allowing more effective timing and targeting of fungicide control. The work involves integration of cyclone air sampling, automated fluidic handling and DNA analysis using Loop mediated isothermal AMPlification (LAMP) methods for direct detection and identification of fungal species.

Water availability in Switzerland varies by region, and water scarcity during the summer is expected to increase due to climate change. Thus, water consumption for irrigation will increase in order to ensure food security. In today’s irrigation systems, the amounts of water used often exceeds the amount of water required by plants.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE) . The aim of CropWatch is to develop a functional demonstrator of an information system for monitoring and analysis of plant production process. It basically consists of a server-based data management system with integrated facilities for receiving, storing, processing and analysis of data of different origins from the plant production process.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Collaborative project: Decision Support in Crop Protection: Pest Identification using UAV Technology The german project description will be translated soon. Im Rahmen des Schadinspektor-Projektes werden Algorithmen zur Identifikation und Abgrenzung von Schaderreger-Befallszonen innerhalb landwirtschaftlicher Schläge entwickelt und durch die Integration als Webservice in das Internetportal von www.isip.de der landwi

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE) . mobile soil-sensor-module and data fusion for resource efficient plant production The small-scale knowledge of soil properties combined with further information is an essential basis for crop production and largely determines the use of resources. Recent methods - with laboratory analyses of soil samples - do not offer options for online verification of the measured results and require transporting of soil.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Remote sensing of weed infestations For an improved weed control which is adapted to the current situation in the field, the farmer needs information about the weed infestation to specifically adjust the management of weed control. In the project REMWEED tools are developed to determine the weed infestation spatially.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). consistent data- and information system for detection and alalysis of early seed quality indicators The KODIAQ project aims on the analysis of effects and interactions of different internal and external factors for the germination capacity of seeds. Using modelling approaches corresponding early indicators will be developed.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Control and optimization of harvest and storage for apple with data-based prognosis models for improvement of fruit-quality and reduction of storage-losses In Germany, fruit quality losses and rots occurring from harvest to consumption are estimated to be up to 18%. In addition to the direct loss of food for human consumption there are also considerable losses of natural resources and human labour.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). development of methods for pre-symptomatic and specific detection of grape diseases like esca, phytoplamosis and viruses as basis for a regional monitoring in vineyards and development of control strategies# Ziel des Vorhabens ist die Entwicklung von Verfahren zur Früherkennung/Frühdiagnose von endogenen Problemkrankheiten der Weinrebe wie Esca, Phytoplasmosen und Virosen.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE). Sensor-based online-detection of pests in wheat Aim of the project is the development of a suitable technology for the early detection of yellow rust patches in wheat. Optical vehicle- and UAV-carried sensors will be tested. For a disease related control decision by the farmer beside the information of the disease also information of various plant parameters like crop surface and plant height are necessary.

This project is funded by the innovation program of the Federal Ministry of Food and Agriculture (BMEL), funding agency is the Federal Office for Agriculture and Food (BLE) . Resource efficient plant protection based on a data driven multi-scale approach for the process chain: Diseases detection - decision support - demand specific fungicide application In precision agriculture most current solution focus on site specific fertilization.