Automated Organization Profile

Praktijkpunt Landbouw Vlaams-Brabant

Current S-Index

6.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.3

Average Dataset Index per dataset

Total Datasets

5

Total datasets in this organization

Average FAIR Score

74.2%

Average FAIR Score per dataset

Total Citations

3

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

In situ soil moisture measurement data for sensor calibration and pooled measurement error modeling (Version: 1.0)

This measurement dataset contains mean in situ measurement data from dielectric soil moisture sensors (TEROS 10) and manual soil moisture samples.It is used to calibrate TEROS 10 sensors at 15 cm depth with soil moisture samples to represent the top 30 cm soil layer.It is also used to quantify pooled systematic and random errors of the mean sensor measurements, using the soil moisture samples as reference measurement.

Authors

  • Hendrickx, Marit ;
  • Diels, Jan ;
  • Vanderborght, Jan ;
  • Janssens, Pieter ;
  • Bombeke, Sander ;
  • Matthyssen, Evi ;
  • Waverijn, Anne
2 Citations0 Mentions92% FAIR2.7 Dataset Index
10.48804/m6wktn2025

Soil moisture measurements and field data from agricultural fields in Flanders (2021–2023) (Version: 1.0)

This dataset contains soil moisture data from 18 open-field vegetable cropping cycles in Flanders (Belgium) between 2021 and 2023. Measurements include continuous soil moisture sensor data (TEROS 10 at 15 cm depth), manual gravimetric soil moisture samples from the top 30 cm, and soil physical properties such as bulk density and water retention. Field-specific data on irrigation, crop type, soil type, planting dates, and local weather conditions (ETo and precipitation) are also included. The dataset was compiled to support research on real-time soil moisture modeling, irrigation scheduling. It is part of the DRIP project ("Datagedreven Regeling van druppelirrigatie voor een duurzame Productie in de tuinbouw").

Authors

  • Hendrickx, Marit ;
  • Diels, Jan ;
  • Vanderborght, Jan ;
  • Bombeke, Sander ;
  • Matthyssen, Evi ;
  • Waverijn, Anne ;
  • Janssens, Pieter
1 Citation0 Mentions92% FAIR2.3 Dataset Index
10.48804/fqaaam2025

MIMOSA: dataset behind the interactive tool for selection of nut harvesting machinery in agroforestry context (MachInes en Methodes voor de OogSt van noten in Agroforestry) (Version: v2023)

This dataset contains all the information which is used to run the calculations in the interactive decision support tool "MIMOSA" (MachInes en Methodes voor de OogSt van noten in Agroforestry), intended to select nut harvesting machinery in an agroforestry context. This tool is developed for use in Belgium and The Netherlands, and is currently only available in Dutch.In recent years, a growing interest in agroforestry systems combined with nut production has been observed in Belgium and the Netherlands. Thereby, it is important to also pay sufficient attention to the harvesting method, even before the trees are planted. For example, grouped planting of varieties according to harvest time is recommended, or the distance between tree rows also determines the possibility of being able to access the field with certain machines. The use of harvesting machines usually also requires an almost perfectly even surface. But the harvesting method itself can also save a lot of time and money.When harvesting, one can wait until the green husk bursts and the nut falls down naturally or use shaking machines to make the nuts fall faster and at the same time. A choice also has to be made on whether to use nets under the trees or not. If nets are not used, consideration should be given to what other method of harvesting can be used: manually for smaller plots or with different types of pick-up machines or a suction system for larger plantings.The objective of MIMOSA is to support making the right choices considering scale and farm specific preferences, labour availability, etc.The use of the MIMOSA tool is free, and it can be accessed through this link https://bdbnet.bdb.be/pls/apex/f?p=147:10The background info sheet can be read here: https://www.agroforestryvlaanderen.be/nl/nieuws/oogst-van-noten-welke-methodes-en-machines (in Dutch).More info? Contact us through [email protected]

Authors

  • Taelman, Martijn ;
  • Reubens, Bert ;
  • Carton, Sarah ;
  • Van Colen, Willem ;
  • Tallieu, Rutger
0 Citations0 Mentions54% FAIR0.6 Dataset Index
10.5281/zenodo.108041932024

MIMOSA: dataset behind the interactive tool for selection of nut harvesting machinery in agroforestry context (MachInes en Methodes voor de OogSt van noten in Agroforestry) (Version: v2023)

This dataset contains all the information which is used to run the calculations in the interactive decision support tool "MIMOSA" (MachInes en Methodes voor de OogSt van noten in Agroforestry), intended to select nut harvesting machinery in an agroforestry context. This tool is developed for use in Belgium and The Netherlands, and is currently only available in Dutch.In recent years, a growing interest in agroforestry systems combined with nut production has been observed in Belgium and the Netherlands. Thereby, it is important to also pay sufficient attention to the harvesting method, even before the trees are planted. For example, grouped planting of varieties according to harvest time is recommended, or the distance between tree rows also determines the possibility of being able to access the field with certain machines. The use of harvesting machines usually also requires an almost perfectly even surface. But the harvesting method itself can also save a lot of time and money.When harvesting, one can wait until the green husk bursts and the nut falls down naturally or use shaking machines to make the nuts fall faster and at the same time. A choice also has to be made on whether to use nets under the trees or not. If nets are not used, consideration should be given to what other method of harvesting can be used: manually for smaller plots or with different types of pick-up machines or a suction system for larger plantings.The objective of MIMOSA is to support making the right choices considering scale and farm specific preferences, labour availability, etc.Based on your personal data, this interactive calculation tool gives you targeted advice for cost-efficient harvesting of your acreage of nuts. Together with the fixed parameters (working width, harvesting speed, fuel consumption, purchase price, depreciation period and machine loading capacity), it then calculates the cost price of harvesting your acreage with different machines for your specific situation (both with and without shaker). Of course, we do want to stress that this is a proposal based on theoretical calculations and only a limited number of machines are included in this calculation tool. It therefore remains important to check for yourself whether the proposed machines are suitable for your farming system.The use of the MIMOSA tool is free, and it can be accessed through this link https://bdbnet.bdb.be/pls/apex/f?p=147:10The background info sheet can be read here: https://www.agroforestryvlaanderen.be/nl/nieuws/oogst-van-noten-welke-methodes-en-machines (in Dutch).More info? Contact us through [email protected]

Authors

  • Taelman, Martijn ;
  • Reubens, Bert ;
  • Carton, Sarah ;
  • Van Colen, Willem ;
  • Tallieu, Rutger ;
  • Rahahleh, Julian
0 Citations0 Mentions54% FAIR0.6 Dataset Index
10.5281/zenodo.108041922023

MIMOSA: dataset behind the interactive tool for selection of nut harvesting machinery in agroforestry context (MachInes en Methodes voor de OogSt van noten in Agroforestry)

This dataset contains all the information which is used to run the calculations in the interactive decision support tool "MIMOSA" (MachInes en Methodes voor de OogSt van noten in Agroforestry), intended to select nut harvesting machinery in an agroforestry context. This tool is developed for use in Belgium and The Netherlands, and is currently only available in Dutch.In recent years, a growing interest in agroforestry systems combined with nut production has been observed in Belgium and the Netherlands. Thereby, it is important to also pay sufficient attention to the harvesting method, even before the trees are planted. For example, grouped planting of varieties according to harvest time is recommended, or the distance between tree rows also determines the possibility of being able to access the field with certain machines. The use of harvesting machines usually also requires an almost perfectly even surface. But the harvesting method itself can also save a lot of time and money.When harvesting, one can wait until the green husk bursts and the nut falls down naturally or use shaking machines to make the nuts fall faster and at the same time. A choice also has to be made on whether to use nets under the trees or not. If nets are not used, consideration should be given to what other method of harvesting can be used: manually for smaller plots or with different types of pick-up machines or a suction system for larger plantings.The objective of MIMOSA is to support making the right choices considering scale and farm specific preferences, labour availability, etc.Based on your personal data, this interactive calculation tool gives you targeted advice for cost-efficient harvesting of your acreage of nuts. Together with the fixed parameters (working width, harvesting speed, fuel consumption, purchase price, depreciation period and machine loading capacity), it then calculates the cost price of harvesting your acreage with different machines for your specific situation (both with and without shaker). Of course, we do want to stress that this is a proposal based on theoretical calculations and only a limited number of machines are included in this calculation tool. It therefore remains important to check for yourself whether the proposed machines are suitable for your farming system.The use of the MIMOSA tool is free, and it can be accessed through this link https://bdbnet.bdb.be/pls/apex/f?p=147:10The background info sheet can be read here: https://www.agroforestryvlaanderen.be/nl/nieuws/oogst-van-noten-welke-methodes-en-machines (in Dutch).More info? Contact us through [email protected]

Authors

  • Taelman, Martijn ;
  • Reubens, Bert ;
  • Carton, Sarah ;
  • Van Colen, Willem ;
  • Tallieu, Rutger ;
  • Rahahleh, Julian
0 Citations0 Mentions79% FAIR0.3 Dataset Index
10.5281/zenodo.108469612023