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An Automatic Crop Disease Recognition Method
Factsheet
03-01-2018
Smart-AKIS
smart-AKIS
Recent Advances in Sensing Plant Diseases for Precision Crop Protection
Factsheet
03-01-2018
Smart-AKIS
smart-AKIS
Soybean Disease Recognition
Factsheet
03-01-2018
Smart-AKIS
smart-AKIS
Research on automatic irrigation control: State of the art and recent results (Smart Akis Thematic Network DOC.)
Factsheet
03-01-2018
Smart-AKIS
Romero
R.
Muriel
J.L.
García
I.
Muñozde la Peña
D. (2012). Agricultural Water Management
D1.6 -Final Report on Research Results, Research Projects and Industry Solutions
Deliverable report
23-01-2018
Smart-AKIS
Frits K. van Evert
Sandra Wolters
Koen van Boheemen
Chris van Dijk
Living Lab Research Concept in Rural Areas
Document
31-10-2021
LIVERUR
Ángel Pablo Cano Gómez
David Christopher Heiser
Scenarios maps: visualising optimised scenarios where supply of soil functions matches demands
Document
19-11-2019
LANDMARK: Land Management Assessment Research Knowledge base ( EU H2020 project)
Rachel Creamer
Monitoring schema for regional and European application, testing of discrimination of indicators
Document
01-11-2019
LANDMARK: Land Management Assessment Research Knowledge base ( EU H2020 project)
Rachel Creamer
Five scientific papers – one for each soil function
Document
19-11-2019
LANDMARK: Land Management Assessment Research Knowledge base ( EU H2020 project)
Rachel Creamer
Demand scenarios: quantification of the demand for soil functions, using the prioritisation / weighting by contrasting stakeholder groups
Document
15-11-2019
LANDMARK: Land Management Assessment Research Knowledge base ( EU H2020 project)
Rachel Creamer

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An Automatic Crop Disease Recognition Method

Recent Advances in Sensing Plant Diseases for Precision Crop Protection

Soybean Disease Recognition

Research on automatic irrigation control: State of the art and recent results (Smart Akis Thematic Network DOC.)

D1.6 -Final Report on Research Results, Research Projects and Industry Solutions

Living Lab Research Concept in Rural Areas

Scenarios maps: visualising optimised scenarios where supply of soil functions matches demands

Monitoring schema for regional and European application, testing of discrimination of indicators

Five scientific papers – one for each soil function

Demand scenarios: quantification of the demand for soil functions, using the prioritisation / weighting by contrasting stakeholder groups

An Automatic Crop Disease Recognition Method

Recent Advances in Sensing Plant Diseases for Precision Crop Protection

Soybean Disease Recognition

Research on automatic irrigation control: State of the art and recent results (Smart Akis Thematic Network DOC.)

D1.6 -Final Report on Research Results, Research Projects and Industry Solutions

Living Lab Research Concept in Rural Areas

Scenarios maps: visualising optimised scenarios where supply of soil functions matches demands

Monitoring schema for regional and European application, testing of discrimination of indicators

Five scientific papers – one for each soil function

Demand scenarios: quantification of the demand for soil functions, using the prioritisation / weighting by contrasting stakeholder groups