Once again we would like to present you with a new research paper developed by some members of our NOVASOIL consortium, this time Dimitre Nikolov and Ekatherina Tzvetanova.
The article focuses on addressing the problem of soil health in agriculture through a specific methodological approach, as it is one of the most important problems we face, as it affects both the environment, future food availability and human health.
The authors are aware that there is a wide typology of farms and that they face constraints depending on their resources and/or choices. This fact makes it necessary to identify typologies before assessing the opportunities and constraints faced by farmers. This would allow a more intelligent decision making, avoiding subjectivities.
Therefore, the main objective of this research was to develop a methodological approach for the creation of such farm typologies in relation to soil health in tree crops and cereal-grassland rotations in the European Union.
This research was carried out as part of the project Transforming unsustainable management of soils in key agricultural systems in the EU and China. Developing an integrated platform of alternatives to reverse soil degradation” (TUdi).
A data collection procedure was used as a starting point:
Statistical processing of the previously collected information was then carried out using principal component and cluster analysis.
Principal component analysis takes all the variables and combines them in a special way to get a few principal variables that capture most of the important information. This helps us to reduce the dimensionality of the data and make it easier to visualise or interpret.On the other hand, cluster analysis is a technique that allows us to group similar objects or cases according to their characteristics. Suppose you have information about different products and you want to find groups of similar products. Cluster analysis helps you to identify which products are most similar to each other and to form groups based on these similarities.
We find this article interesting and useful for any farmer or decision-maker because it addresses a critical issue in agriculture: soil degradation; because soil health is fundamental to sustainable agricultural production and food security; and because soil degradation can have serious economic, social and environmental consequences.
The methodological approach described in the article enables both farmers and decision-makers to better understand soil health on their farms and to take action to address soil degradation. The farm typology developed in the study can help farmers to identify the specific characteristics of their farm in terms of soil health and to take action to improve it.
In addition, the article presents a practical methodology that allows farmers to determine the type of their farm according to the typology developed. This can help farmers make informed decisions about soil management and improve the sustainability of their farming practices.
Your email address will not be published. Required fields are marked *
Comment *
Name *
Email *
Website
Remember Me
Lost your password?
If you would like to receive information about the NOVASOIL project and how you can improve the health of your soil, please leave us your contact details.
We don’t spam! Read our privacy policy for more info.
Check your inbox or spam folder to confirm your subscription.
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners.
Suggested text: Our website address is: http://novasoil-project.eu.
Suggested text: When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.
An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.
Suggested text: If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.
Suggested text: If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.
If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.
When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select "Remember Me", your login will persist for two weeks. If you log out of your account, the login cookies will be removed.
If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.
Suggested text: Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.
These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.
Suggested text: If you request a password reset, your IP address will be included in the reset email.
Suggested text: If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.
For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.
Suggested text: If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.
Suggested text: Visitor comments may be checked through an automated spam detection service.