| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | AB | AC | AD | AE | AF | AG | AH | AI | AJ | AK | AL | AM | AN | AO | AP | AQ | AR | AS | AT | AU | AV | AW | AX | AY | AZ | BA | BB | BC | BD | BE | BF | BG | BH | BI | BJ | BK | BL | BM | BN | BO | BP | BQ | BR | BS | BT | BU | BV | BW | BX | BY | BZ | CA | CB | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | HERD MANAEMENT | PASTURE MANAGENT | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2 | WEATHER | SOIL | CROP MONITORING | SILO/GRANARY/TANK | GAS SENSOR | SENSOR ON THE ANIMAL | SENSOR | Paddock Management Software | GRASS MANAGEMENT TECHNOLOGIES | FMIS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3 | TYPE OF INDICATOR | CAP OBJECTIVE | NAME | DEFINITION | METHODOLOGY FORMULA | UNIT OF MEASUREMENT | DATA COLLECTION LEVEL | DATA REPORTING LEVEL | FREQUENCY | PRIORITY LEVEL | EO | MACHINERY | Temperature | Humidity | Barometric pressure | Wind direction | Wind speed | Precipitation | Solar radiation | Evapotranspiration | Moisture | salinity | conductivity | temperature | pH | Structure (clay, silt, sand) | SOC | Digital Soil Mapping | Leaf/canopy temperature | humidity | leaf wetness | evapotranspiration | Crop type | phenological growth stage | yield estimation | yield maturity | insects population | pests infestation | Liquid Level sensors | Temperature monitoring | Gas emitted in silo | Silo level monitoring | CO2 | Ammonia | Oxygen | Pesticides | Monitoring movement and feeding | Positional sensors and accelerometers | Sensors into animals’ stomach | On-line book-keeping of herd mang. | Temperature | Humidity | Light levels | CO2 detection | NH3 and H2S | Vision system | Sound systems | Robotic milking parlors | RFID ear tags | Virtual fencing (precision paddock mang.) | Grass cover | Silage production | Grazing times | Feed wedge | estimates organic and inorganic nutrient loads | Automated plate meter (grass biomass) | Sensor: Grass level | Sensor: Soil conditions | weather stations | Image analysis: Biomass | Image analysis: sward type | Image analysis: Grass weed detection | Remote Measure of grass | Accountancy | Farm registry | Farm book | Advisory | LPIS-GSA | Possible EU data source | External |
4 | Economic Sustainability | 1. Ensuring Viable Farm Incomes | Age of Asset | The age of key farm assets | Recording of the age of key farm assets | Years | Farm level | National, Regional, Farm level | Annual (potentially less frequently) | Medium | Source: - Records on Animals: age, performance Requirements: - Farmer interaction, willingness and compliance with GDPR - Adoption of AIM - Agriculture Data sharing | Source: - Records of assets purchases and sells - Robotic accounting - e-Invoicing Requirements - Farmer interaction, willingness, compliance with GDPR - Adoption of AIM - Agriculture Data sharing | Source - Records of machinery in registry: purchase date, type, equipment. Requirements - Farmer interaction, willingness, compliance with GDPR - Adoption of AIM - Agriculture Data sharing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
5 | Income Volatility | Variation in income | N/A | Percentage change in farm income in a given year relative to the average income of the previous three years | Farm level | National, Regional, Farm level | Annual | High | Source: - Records of purchases and sells - Robotic accounting: e-Invoicing Requirements: -- Farmer interaction, willingness and compliance with GDPR - Temporal series of purchases and sells - Adoption of AIM - Agriculture Data sharing - GDPR compliance | Source: - Farm level: https://agridata.ec.europa.eu/extensions/FADNPublicDatabase/FADNPublicDatabase.html# - Farm level (standard output): https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ef_m_farmleg&lang=en - National: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aact_eaa01&lang=en | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
6 | Use of Risk Management Tools | Use of Risk Management Tools | N/A | Number/Types of Risk Management Tools used | Farm level | National, Regional, Farm level | Annual | High | Source - Expenses on risk management measures Requirements - Farmer interaction, willingness and compliance with GDPR - Adoption of AIM - Agriculture Data sharing - GDPR compliance | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
7 | 2. Increasing Competiveness (Productivity) | Technology Adoption | Sector specific Technologies (to be defined) | N/A | Binary Variable (Yes/No) | Farm level | National, Regional, Farm level | Annual | Medium | Number of farms with energy production/technology: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ef_mpequip&lang=en | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8 | 3. Strengthening Farmers’ Position in Value Chains | Farmer Producer Group Members | Membership of Producer Group | N/A | Binary Variable Yes/No | Farm level | National, Regional, Farm level | Annual | High | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9 | Use of Forward Pricing of farm output | Share of farm income by volume that is forward sold | Volume of farm output forward sold / total farm output | Percentage of output | Farm level | National, Regional, Farm level | Annual | High | Source: - Records of purchases and sells - Robotic accounting: e-Invoicing Requirements - Farmer interaction, willingness and compliance with GDPR - Adoption of AIM - Agriculture Data sharing - GDPR compliance | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10 | Proportion of crop forward sold and price | Proportion of crop forward sold and price | Percentage of output forward sold | Percentage | Farm level | National, Regional, Farm level | Annual | Source: - Records of purchases and sells - Robotic accounting: e-Invoicing Requirements - Farmer interaction, willingness and compliance with GDPR - Adoption of AIM - Agriculture Data sharing - GDPR compliance | Source: - Records of crop type Requirements - Farmer interaction, willingness and compliance with GDPR - Adoption of AIM - Agriculture Data sharing - GDPR compliance | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | Farm output sold as organic | Share of farm output sold as organic | Volume of farm output sold as organic/ total farm output | Farm level | National, Regional, Farm level | Annual | High | Source: - Records of purchase and sell of organic products - Robotic accounting (eInvoicing?) Requirements - Farmer's willingness -> rewards - Adoption of AIM - Aagriculture Data sharing - GDPR compliance | Organic crop production: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=org_croppro&lang=en Organic animal products: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=org_aprod&lang=en | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 8. Jobs growth and rural poverty | Hours worked on and off-farm | Total hours worked on the farm or other gainful activities directly related to the holding as well as hours worked off-farm. | N/A | Hours | Farm level | National, Regional, Farm level | Annual | High | Number of farms (farmtype/region): https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ef_oga_main&lang=en Hours worked: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ef_lf_main&lang=en | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
13 | Level of Educational Qualification of Farm Employees | Highest level of education of farm employees | Refer to system of European qualification framework | Use of a European qualification framework measure | Farm level | National, Regional, Farm level | Annual | High | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
14 | Non-farm income | Income obtained from activity unrelated to the farm business | N/A | Euro | Farm level | National, Regional, Farm level | Annual | High | Secondairy activities (Regions): https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=agr_r_accts&lang=en | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
15 | Environmental Sustainability | 4. Agriculture and Climate Mitigation | Farm GHGs | The average amount of GHGs produced per farm | Total amount of GHGs produced in agricultural activity | Tonnes of CO2 Eq per farm | Farm level | National, Regional, Farm level | Annual | High | Source - ISOBUS TC-BAS records: fertilizer and manure volume Requirements - Adoption of Agriculture Data Model - Adoption of model for data sharing - Sharing data compliance with GDPR | Source - Records of animal information: number, age, performance, weight and feed. Requirements - Adoption of models to estimate CH4 emission based on #of animals - Adoption of Agriculture Data Model - Adoption of model for data sharing - Sharing compliance with GDPR | Source - Records of CO2 measurements Requirements - Adoption of agriculture data model to store information - Adoption of model for data sharing - Records sharing compliance with GDPR | National level (agriculture) GHG: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=env_ac_aigg_q&lang=en | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
16 | GHGs per ha | Farm GHG emissions produced on a per ha basis | Total farm GHGs in tonnes / farm area in ha | tonnes CO2 eq per ha | Farm level | National, Regional, Farm level | Annual | High | Source - Vegetation coverage above certain NDVI threadshold - Crop identification: ML algorithms - Spectral reflectance models for soil carbon content estimation. Requirements - Adoption of ML algorithm - Adoption of agriculture data model to store information - Adoption of models to quantify carbon sequestration per crop | Source - ISOBUS TC-BAS records: fertilizer and manure volume - Records of machinery positioning system (GNSS) tracks Requirements - Adoption of Agriculture data model to store information - Adoption of model for data exchange - Track recording and data sharing compliance with GDPR | Source - Records of Nutrient advisory tools (FaST) about Urea application Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source: - LPIS parcel - Geo-spatial application geometry Requirements: - Adoption of agriculture data model to store information - Adoption of model for data sharing - Models to estimate GHG emission based on crop | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
17 | Carbon Sequestration | Carbon Sequestered in agriculture | Depends of form of Sequestration to be measured | CO2 eq per hectare | Farm level | National, Regional, Farm level | Annual | High | Source - Vegetation coverage above certain NDVI threadshold - Crop identification: ML algorithms - Spectral reflectance models for soil carbon content estimation Requirements - Adoption of ML algorithm - Adoption of agriculture data model to store information - Adoption of models to quantify carbon sequestration per crop | Source - Records of yields per crop Requirements - Models to estimate residues left on the soil based on Yield estimation - Adoption of Agriculture data model to store information - Adoption of model for data sharing | Source - Records of grass cover Requirements - Adoption of models to estimate CO2 sequestration based simply on Grass cover - Adoption of agriculture data model to store information - Adoption of model for data sharing - Records sharing compliance with GDPR | Source - Records of crop type, tillage practices, yield and residues management Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
18 | Ammonia emissions per farm | The average amount of ammonia produced per farm | Total amount of ammonia produced in agricultural activity on a farm | Kg ammonia per farm | Farm level | National, Regional, Farm level | Annual | High | Source - Records of NH3 measurements Requirements - Adoption of agriculture data model to store information - Adoption of model for data sharing - Records sharing compliance with GDPR | Source - Records of NH3 and H2S measurements Requirements - Adoption of agriculture data model to store information - Adoption of model for data sharing - Records sharing compliance with GDPR | Source - Fertilizer and manure application method and soil incorporation Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of Nutrient advisory tools (FaST) about Urea application Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
19 | Farm ammonia per ha | The amount of ammonia emissions produced on farm expressed on a per ha basis | Total farm ammonia in tonnes/farm area in ha | Kgs of ammonia per ha | Farm level | National, Regional, Farm level | Annual | High | Source - Fertilizer and manure application method and soil incorporation Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of Nutrient advisory tools (FaST) about Urea application Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
20 | Renewable Energy per farm | Amount of renewable energy generated on farms | Energy produced per hectare (or per unit of farm output) | KWh per year | Farm level | National, Regional, Farm level | Annual | Medium | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
21 | 5. Efficient Soil Management | N Balance | N inputs less N outputs on a per hectare basis | N/A | Kg of N Surplus per hectare | Farm level | National, Regional, Farm level | Annual | High | Source - Records of purchase of Nitrogen fertilizer Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records in digital farm book Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of Nutrient advisory tools Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - LPIS parcels - Geospatial application parcel geometry | Nitrogen balance: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aei_pr_gnb&lang=en Consumption of inorganic fertilizer: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aei_fm_usefert&lang=en | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
22 | P Balance | P inputs less P outputs on a per hectare basis | N/A | Kg of P Surplus per hectare | Farm level | National, Regional, Farm level | Annual | High | Source - Records of purchase of Phosphorous fertilizer Requirement - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records in digital farm book Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of Nutrient advisory tools Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - LPIS parcels - Geospatial application parcel geometry | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
23 | N Use Efficiency | N Retention Efficiency | Percentage of N outputs/N inputs | Percentage | Farm level | National, Regional, Farm level | Annual | High | Source - Temporal series of vegetation indexes (VIs). - Maps of crop type. Requirements - ML algorithms to obtain crop type maps. - Adoption of models enabling VIs~Crop yield | Source - Records of harvested yield Requirements - Models -> N output ~ Yield + estimates of residues left on the soil - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of yield per crop Requirements - Nitrogen output based on crop yield - Adoption of Agriculture data model to store information - Adoption of model for data sharing | Source - Records of yield per crop. Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of Nutrient advisory tools Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - LPIS parcels - Geospatial application parcel geometry | National: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aei_pr_gnb&lang=en | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
24 | P Use Efficiency | P Retention Efficiency | Percentage of P outputs/P inputs | Percentage | Farm level | National, Regional, Farm level | Annual | High | Source - Temporal series of vegetation indexes (VIs). - Maps of crop type. Requirements - ML algorithms to obtain crop type maps. - Adoption of models enabling VIs~Crop yield | Source - Records of harvested yield Requirements - Models -> P output ~ Yield + estimates of residues left on the soil - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of yield per crop Requirements - P output based on crop yield - Adoption of Agriculture data model to store information - Adoption of model for data sharing | Source: - Records of purchase of Phosphorous fertilizer Requirements: - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of crop yield Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of Nutrient advisory tools Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - LPIS parcels - Geospatial application parcel geometry | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
25 | Crop rotation | Crop type by land parcel by year | N/A | Area | Farm level | National, Regional, Farm level | Annual | High | Source - Temporal series of satellite images. - Crop type and land cover maps Requirements - Adoption of accurate and trustable ML algorithm - Ancillary data required by ML algorithm. - Adoption of agriculture data model | Source - Records of crop in digital farm book - Historical records of crops Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Source - Records of crop declared in previous campaigns Requirements - Data sharing compliance with GDPR | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
26 | Soil Cover | Usage of soil cover between harvesting and planting | N/A | Number of hectares where soil cover crop is planted | Farm level | National, Regional, Farm level | Annual | High | Source - Green cover: NDVI or LAI above certain threshold - Brawn/Senescent cover: Brawn LAI above certain threshold Requirements - Adoption of agriculture data model | Soil cover: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ef_mp_soil&lang=en | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
27 | Tillage Management Practices Against Erosion | Incidence of practices used to prevent erosion | N/A | Type of Management Practice - Binary variable Yes/No | Farm level | National, Regional, Farm level | Annual | Medium | Source - Tillage detection: combination of optical and radar signals Requirements - Algorithms to detect tillage events. - Adoption of agriculture data model. - Adoption of model for data sharing. | Source - Machinery positioning system (GNSS) tracks Requirements - Adoption of agriculture data model - Adoption of model for data sharing | Source - Records of the labour performed. Requirements - Adoption of agriculture data model. - Adoption of model for data sharing. - Data sharing compliance with GDPR. | Source: - LPIS/GSA parcel geometry | Tillage: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ef_mp_prac&lang=en Soil erosion: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aei_pr_soiler&lang=en | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
28 | Pesticide Use | To Be Defined | To Be Defined | To Be Defined | Farm level | National, Regional, Farm level | Annual | High | Source - Records of the volume of pesticide applied Requirements - Adoption of agriculture data model - Adoption of model for data sharing | Source - Records in digital farm book Requirements - Adoption of Agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | Pesticide use: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aei_pestuse&lang=en Harmonised pesticide indicator: https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=aei_hri&lang=en | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
29 | Usage of Precision Farming Techniques | Incidence of precision technology use on farm | N/A | Type of Precision Technique - Binary variable Yes/No | Farm level | National, Regional, Farm level | Annual | High | Source - Use of machinery with positioning systems (GNSS) equipment - ISOBUS TC-BAS records Requirements - Adoption of agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
30 | 6. Biodiversity and enhanced eco system services | Farmland Bird Index | Abundance and variety of farmland birds observed | Number of farmland birds observed in a given area/period | Number of farmland birds observed | Farm level | National, Regional, Farm level | Annual | Medium | Farmland birdindex (national): https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=env_bio2&lang=en | Source bird counting systems and portals: https://eurobirdportal.org/ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
31 | Grassland Butterflies Index | Abundance and variety of grassland butterflies observed | Number of grassland butterflies observed in a given period/area | Number of grassland butterflies observed | Farm level | National, Regional, Farm level | Annual | Medium | Grassland butterflies — population index: https://www.eea.europa.eu/ims/abundance-and-distribution-of-selected and https://butterfly-monitoring.net/ | Source Butterfly count apps: e.g. https://www.natural-apptitude.co.uk/project/big-butterfly-count/ or https://play.google.com/store/apps/details?id=uk.ac.ceh.ebms&hl=en_GB&gl=US | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
32 | Farm landscape features and their loss | Number of farmland features observed | Change in number of landscape features | Number of farmland features relative to previous period | Farm level | National, Regional, Farm level | Annual | High – measureable using remote sensing | Source - Land cover features identification/change in time series Requirements - Definition of the minimun size of the features - Adoption of the ML algorithms | Source - Geo-tagged photos Requirements - Adoption of model for data sharing - Data sharing compliance with GDPR | Lucas ? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
33 | Presence of high nature value farming | Proportion of farm deemed to be of high nature | N/A | No of hectares as a share of total farm hectares | Farm level | National, Regional, Farm level | Annual | High | Source: - LPIS information - GSA (farmer input) | enhanced update of HNV farmland in Europe https://www.eea.europa.eu/data-and-maps/data/high-nature-value-farmland | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | Adoption of Biocontrols | Type of biocontrol in use | N/A | Number of biocontrol measures used per farm | Farm level | National, Regional, Farm level | Annual | High | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
35 | Pollinators | Abundance of pollinators (bees) observed | Number of pollinators (bees) observed in a given period/area | Number of pollinators (bees) observed | Farm level | National, Regional, Farm level | Annual | Medium | Source the bee hub https://www.bee-life.eu/post/eu-bee-partnership-unveils-new-online-platform-for-data-on-pollinator-health | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
36 | Social Sustainability | 7. Structural Change and Generational Renewal | Income level of young farmers | Euro income from farming activity | N/A | Euro | Farm level | National, Regional, Farm level | Annual | High | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
37 | Extent of farm specialisation by age of farmer | Degree of farm specialisation by farmer age category | To be defined | To be defined | Farm level | National, Regional, Farm level | Annual | High | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
38 | Access to Finance and Credit | Ease of access to finance and credit | Percentage of finance/credit requests rejected | percentage | Farm level | National, Regional, Farm level | Annual | Medium | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
39 | 8. Jobs Growth and Rural Poverty | Broadband availability and Broadband Speed | Availability and use of broadband and related access speeds | N/A | Binary Variable Yes/No; Speed in mbps | Farm level | National, Regional, Farm level | Annual | Medium | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
40 | Distance from services | Distance to | N/A | minutes | Farm level | National, Regional, Farm level | Annual | Medium | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
41 | Region Remoteness | Travel time to services (to be defined) | Minutes | Travel distance (time) to services (to be defined) | Farm level | National, regional, farm level | Annual | Medium | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
42 | Off-farm Income | Income generated from non-farming sources | N/A | Euro | Farm level | National, Regional, Farm level | Annual | High | https://agridata.ec.europa.eu/extensions/FADNPublicDatabase/FADNPublicDatabase.html# | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
43 | 9. Health, Food and Anti-microbial Resistance | Sales of veterinary antimicrobial agents | Amount and value of antimicrobials purchased | N/A | Number of animal doses and euro value | Farm level | National, Regional, Farm level | Annual | High | Source - Records of antimicrobials purchases - Records of antimicrobials use Requirements - Adoption of agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
44 | Use of veterinary antimicrobials in EU animal husbandry | Frequency of use of medicines | N/A | Amount of medicines delivered by animal | Farm level | National, Regional, Farm level | Annual | High | Source - Records of antimicrobials use Requirements - Adoption of agriculture data model to store information - Adoption of model for data sharing - Data sharing compliance with GDPR | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
46 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
47 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
48 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
49 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
50 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
51 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
52 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
53 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
54 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
55 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
56 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
57 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
58 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
59 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
60 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
61 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
62 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
63 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
64 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
65 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
66 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
67 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
68 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
69 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
70 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
71 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
72 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
73 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
74 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
75 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
76 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
77 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
78 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
79 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
80 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
81 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
82 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
83 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
84 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
85 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
86 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
87 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
88 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
89 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
90 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
91 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
92 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
93 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
94 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
95 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
96 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
97 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
98 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
99 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||