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EFITA

Châtenay-Malabry (FR - 92290), 4 February 2019

EFITA newsletter / 863 - European Federation for Information Technology in Agriculture, Food and the Environment

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The World's Largest Event on Agricultural Biostimulants

8-21 November 2019 - BARCELONA (Spain)
The Congress has established over the years as the world leading event in this field. It is an international scientific and technical gathering to review the latest knowledge on agricultural biostimulants, which are increasingly used in crop production around the world.
See Biostimulants

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To correspond with me (GW), please use this address: guy.waksman(a)laposte.net


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Weekly newsletters about ICT in Agriculture in English and French
Both newsletters have around 14000 subscribers.
>>> Last weekly EFITA Newsletters in English (created in 1999)
Efita Newsletters


>>> Last weekly AFIA Newsletters in French (created 20 years ago in 1997)
Afia Newsletters

Around 15% of subscribers have a look on these newsletters. A rather normal rate…
The archive for the last years are available on the AFIA web site.


New tool hedges grain from smartphone, by Willie Vogt

FarmLogs adds a new service that allows farmers to automatically hedge their crop
See farmprogress.com


Big ag embraces idea of collaboration

John Deere creates a new approach to connecting with innovators in the ag tech space.
…/…
The Star-up Collaborator is in interesting example of how one major manufacturer in agriculture is embracing change in new ways. Engaging these start-ups can give John Deere insight into opportunities from the future. What that will mean for the company and its customers remains to be seen. Stay tuned.
See farmprogress.com


Indian AgriFood Supply Chain Sensor Startup AgNext Raises $2m Pre-Series A Round with Kalaari Capital

Based in Chandigarh and launched in October 2016, the startup provides agricultural sensing solutions that collect spatial, temporal, and spectral data across the agricultural and food value chain, helping growers and food processors to improve their productivity, quality, and profitability. Its sensors collect data on a variety of production points like weather, pest management, soil management, crop analysis, produce quality analysis, and the farmer’s daily notes.
See agfundernews.com


AgriFood Tech Startup Spotlight: FruitSpec

Israel-based startup Fruitspec is hoping to take the mystery out of yield prediction with its hyperspectral machine vision technology. Current yield estimations are based on extrapolation from manual counts of a few sampled trees. As these estimates may vary widely in their accuracy, the results are detrimental business decisions that cause a loss of revenue to all players, from growers to retailers.
See agfundernews.com
See trendlines.com


I-SPRAY: artificial intelligence applied to spraying to reduce consumption of plant protection products
See Kuhn


New tech could revolutionize grain management by Tom J Bechman

GrainViz will allow you to see moisture levels inside grain bins down to the bushel.
See farmprogress.com
See grainviz.com


Agritech start-up Indigo to launch ‘Uber for US crops’

US farmers are getting a service akin to Uber to deliver their grains and oilseeds, with the launch of a transport unit by agritech start-up Indigo Ag.
See ft.com


Why is adoption of precision ag so slow? by Tamme van der Wal

Precision agriculture is a win-win. But if that is true, why is the adoption of precision agriculture so slow?

>>> Precision agriculture technologies can generally be grouped in 5 categories:
- first of all is the satellite navigation an important enabling technology in the arable and vegetable farming. Satellite navigation helps farmers to guide their machine with the desired precision to avoid gaps and overlaps in all field work and the revisit the same traffic lanes in the field without compacting too much soil.

- The second technology is the monitoring technology, from satellite to in-field sensor and everything in between. These monitoring technologies provide information on the status of soils, crops, barns, animals and other conditions, like for instance the weather or indoor climate.

- All these data needs processing and integration, leading to data management and analytics as a third category of technology. An important discussion here is about sharing data between the different stakeholders, as these data might represent economical value, which is yet to migrate into accepted models for data sharing and management.

- Based on these data, decision support tools are the fourth category. Tools that help farmers create actionable knowledge and facilitate evidence-based decision making.

And this leads to the 5th category of technologies consisting of the robotization and the automation of all kinds of mechanisation machinery, to indeed do this precision agriculture.
See futurefarming.com

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Cargill CEO on trade war: 'Not a Good Moment' for Agriculture Economy
See bloomberg.com


Old good days??? By Julien Dupré, La récolte des foins, 1881

How to Sustainably Feed 10 Billion People by 2050, in 21 Charts

My remark GW): About the discussion about animal-based food / plant-based foods, I have a question: how important should be the meadow surface, that could be the best option for human exploitation, and what part of the meadow surface could be usefully converted into arable land?
The cattle is not only necessary for many poor farmers and to provide added value to poor soil areas.
See WRI


European Soil Data Centre Newsletter No.115 (Dec 2018 - Jan 2019)
See European Soil

Next Efita
Congress
in Greece in 2019!


2019 Efita International Conference

27-29 June - RHODES - Greece

The topics for the EFITA 2019 conference are detailed below within topic groups.

Topic group 1: “Sensors”
This topic group refers to the development or optimization of sensors and electronics for agricultural applications, such as field scouting and crop parameters monitoring. Particular sub-topics could be:
- New sensors (optical, reflectance, etc.)
- Wireless sensor networks
- Image processing


Agricultural robots are also within this topic, focusing on automation and control technologies to optimise robotic applications in agriculture. Particular sub-topics could be:
- Scouting Robots
- Action Robots
- Machine embedded ICT tools

Topic group 2: “Data”
This topic group is related to all technologies and software that cure data mining, data warehousing, visualisation, knowledge extraction, big data management. Particular sub-topics could be:
- Big data management
- Data mining for agricultural information systems
- Data visualisation
- Data and Knowledge Management for extension services (with real examples)

Other subjects within this topic are interoperability, semantics and knowledge management, such as:
- Metadata and data standards in agriculture
- Thesaurus management, Knowledge management
- Ontologies for agriculture
- Knowledge bases and Knowledge repository services
- Web of Data, Linked Open Data


Topic group 3: “Decision”
This topic group is about modelling for simulation, prediction, crop management, design of ICT-intensive farming systems. Proposed sub-topics are:
- Modelling and Simulation for agricultural production and farming systems
- Weather prediction models for sustainable agricultural production
- Multi-Agent systems

Other “Decision” scientific work is about remote sensing, GIS technologies and spatial management of resources. It includes sub-topics such as:
- Remote Sensing and GIS applications
- Planning tools
- Environmental information systems and Environmental management systems
- ICT applications for natural resources management, including forestry
- ICT applications for sustainable biomass production and use

Finally, ICT applications regarding economical, organizational and business implications in agriculture are also used for business decision making. Such ICT tools are divided in:
- Decision Support Systems for Agriculture
- ICT applications for food chain and logistics
- Traceability tools
- ICT and business
- Rural economies and ICT policies for rural development


Topic group 4: “Action”
This topic group is mainly about design of ICT applications for agriculture and sustainability focusing on precision and knowledge intensive agriculture. It includes sub-topics such as:
- Computer tools for farming
- Models of farming activity
- Scientific computing applied to crop management
-Expert systems in agriculture

This topic group is also about web technologies and networking of actors all along the value chain of agriculture. It includes sub-topics such as:
- On line farm services
- Web applications (clients, devices, server-side)
- Cloud computing applications
- Social Networking, collaborative tools and crowdsourcing
- Tools for e-agribusiness


See efita2019


A few small jokes

TEACHER: How old is your father?
KID: He is 6 years.
TEACHER: What? How is this possible?
KID: He became father only when I was born.


TEACHER: Maria, go to the map and find North America.
MARIA: Here it is.
TEACHER: Correct. Now, Class, who discovered America?
CLASS: Maria.


TEACHER: Glenn, how do you spell 'crocodile'?
GLENN: 'K-R-O-K-O-D-I-A-L'
TEACHER: No, that's wrong
GLENN: May it is wrong, but you asked me how I spell it.


TEACHER: Donald, what is the chemical formula for water?
DONAALD: H I J K L M N O.
TEACHER: What are you talking about?
DONAALD: Yesterday you said it's H to O.


TEACHER: Clyde, your composition on 'My Dog' is exactly the same as your brother's. Did you copy his?
CLYDE: No, sir; It's the same dog.


TEACHER: Harold, what do you call a person who keeps on talking when people are no longer interested?
HAROLD: A teacher.


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Contact: Guy WAKSMAN
E-mail: guy.waksman(a)laposte.net


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