The major objective is to develop indigenous prototype for drone based crop and soil health monitoring system using hyperspectral remote sensing (HRS) sensors. This technology could also be integrated with satellite-based technologies for large scale applications Drone technology based unmanned aerial vehicle (UAV) has ability for smooth scouting over farm fields, gathering precise information and transmitting the data on real time basis.

Technological development of a forecasting model production for greenhouse tomato crop production, based on climatic, environmental and greenhouse variables of the area. Validation of the solution and creation of a software prototype as support tool to support for the construction of production agronomic forecasting model. Development of a support system for decision making (DSS) on the climate management, production and cost applied to a polygon greenhouses. It will be used as a simulator to assess climate, agronomically and economically different scenarios.

Development of a smart ultrasonic sensor to measure pasture dry matter or crop growth. The research program is led by the University of Auckland, with AgResearch and Gallagher as partners.

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) . This project aims at the development of a web-based interactive planning system as a comprehensive tool for crop management in cereals. The user is to be conducted by an intuitive decision support for all processes throughout the season from sowing to harvest.

Objectives The principal objective of this project is to design and develop mobile and web-based applications in order to enhance crop variety selection activities (real-time data accessibility, data analytics, and decision making). More specific objectives are to: 1.Identify and examine various crop management and performance data sources and data format. 2.Collect data in a centralized format (i.e.

Producing the highest quality crop with a maximized yield requires the real-time measurement and actionable analysis of a large number of plant-related external factors. These factors are meteorological, geological, organic and human-related. Measuring and processing these parameters is at the core of any decision-support system intending to streamline the production of farmlands. Currently there are no solutions available that can quantify all on-site plant-related parameters in real-time.

Smart Agriculture System project aims to design an original system modeling, simulation, prediction performance and aid to decision agricultural stakeholders: farmers, advisors, seed companies, processors. The final goal is to lead to improved efficiency of inputs for a given performance target (quantity and quality) through optimized modulation inputs (corn crop). The objective of this project is the development of a new decision system to conduct wheat production.

The project aims to deploy a robotic solution in the sectors of horticulture, viticulture, arboriculture or field crops. Improving the reliability of robotic systems, security, visual perception or autonomy among its working axes. The premise is this: fewer pesticides, less painfulness

IT-AGRO project is led by the company AIROD Technologies and 8 partners Midi-Pyrénées and Aquitaine, to develop an ISOBUS-ISO-XML console open and interoperable, including a precision positioning function and the ability to develop agronomic applications. This console will be supported by a suitcase to facilitate the management of the ISOBUS interface. The first steps will be referred to the tillage using RAZOL manufacturer tools. This project with a duration of 3 years will make the promotion of the technology in the service of precision farming and tillage.

The project is part of the strategic and economic context of precision farming. The objective is to maximize farmers revenue by minimizing the environmental impact of agricultural practices. One of the idea is to modulate practices in intra-plot level. The main technical obejctive is to develop a long-range drone imaging system and the image processing algorithms and associated agronomic models to supply the tools for decision system needed to implement precision agriculture crop Wheat, Maize, Sunflower and Rapesee.

The aim of this 3 year project is to develop the potential for using crop sensing to more precisely target input applications such as fertilizer, plant growth regulation and crop protection, and then to structure this knowledge as a support tool to allow advisors and growers to confidently use this technology to improve efficiency, sustainability and competitiveness on commercial farms. One of the critical challenges for the successful and widespread adoption of Precision Farming in Europe is to mainstream the use of the technologies to ensure it is accessible to all farmers and can become

Ignoring the inherited spatial variation in soil properties with traditional sampling methods leads to poor crop management, yield loss and excess use of input. The proposed system of FarmFuse addresses these issues in 2 ways: (a) utilising a new and innovative on-line multi-sensor platform for measuring key soil properties at an appropriate resolution. (b) Integrating this improved soil data with other information such as vehicle-borne sensing of crop growth, weather data, soil conductivity and yield maps, to develop algorithms to determine rules for variable rate application.

This project will build a demonstrator to support crop yield improvement by integrating and exploiting plant phenotyping and ‘omics data. This is a strategically important area of unmet need both in the UK and globally, where optimising the combination of inputs, treatments, doses & timings to apply to specific crop strains in a specific growing environment is a massively complex challenge.

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 project will address key agronomic/soil related challenges currently impeding sustainable intensification (SI). Current levels of wastage and field losses across the UK horticultural sector are not sustainable and are largely attributed to soil degradation-related constraints and inappropriate crop management approaches. This project will focus on minimising wastage and field losses as underpinned by sustainable soil management. Soils are the foundation of food production as they support crop production, and for growers, soil is their primary business asset.