Related Experiment Video
Updated: Jun 12, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
Published on: February 2, 2019
A dataset of crop succession indicators for 2015-2021
Marie-Sophie Dedieu1, Thomas Poméon1, Baptiste Girault2
1INRAE, US ODR, Castanet-Tolosan F-31326, France.
Abstract:
The current agroecological transition of agriculture pushes to a diversification of cropping systems, which requires quantified data describing crop successions. "Crop successions indicators 2015-2021" dataset provides a set of twenty synthesis indicators to characterize crop diversity, crop seasonality, particular components of crop successions and duration of crop rotations. Indicators are computed for a seven-year period from 2015 to 2021. Data source are raw crop sequences open access dataset. Indicators are available for municipalities, departments, regions and the whole mainland France, for arable land. A group of experts in agronomy has been associated to this work, in order to define relevant themes, relevant indicators and relevant indicator definitions. This dataset could be useful to characterize agricultural practices on a given territory, for researchers, local actors as decentralized state services, water agencies, territorial collectivities, chambers of agriculture, or agricultural cooperatives. Proposed indicators could be useful for policy makers to monitor the evolution of cultivation practices, in order to design, implement or evaluate measures targeting cultivation practices.
Related Concept Videos
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Light Acquisition
Responses to Drought and Flooding
Time-Series Graph
Survival Tree
Building a Survival Tree
Constructing a...

