VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation

Autor: Simon Madec, Kamran Irfan, Kaaviya Velumani, Frederic Baret, Etienne David, Gaetan Daubige, Lucas Bernigaud Samatan, Mario Serouart, Daniel Smith, Chrisbin James, Fernando Camacho, Wei Guo, Benoit De Solan, Scott C. Chapman, Marie Weiss

Publikováno v: Scientific Data

Applying deep learning to images of cropping systems provides new knowledge and insights in research and commercial applications. Semantic segmentation or pixel-wise classification, of RGB images acquired at the ground level, into vegetation and back

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df20e75129651bf77a217895a07845b
https://doi.org/10.1038/s41597-023-02098-y

Towards domestication of the endemic Malagasy pepper tsiperifery (Piper sp.): Lessons learnt from domestication and cultivation history of other peppers

Autor: V. Ceccarelli, J. Queste, P. Bàrberi

Publikováno v: Fruits
Fruits, EDP Sciences/CIRAD, 2021, 76 (3), pp.123-133. ⟨10.17660/th2021/76.3.3⟩

Introduction – Since the international popularity of tsiperifery, the Malagasy wild pepper (Piper sp.) from Madagascar started to grow, traditional low-intensity harvesting has turned into uncontrolled systematic collection, which is environmentall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13699e6d39b90c6b9f2c50ae4511e334
https://doi.org/10.17660/th2021/76.3.3

High probability of yield gain through conservation agriculture in dry regions for major staple crops

Autor: Su, Yang, Gabrielle, Benoît, Beillouin, Damien, Makowski, David

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports
Scientific Reports, Nature Publishing Group, 2021, 11, pp.3344. ⟨10.1038/s41598-021-82375-1⟩
Scientific Reports, Nature Publishing Group, 2021, 11 (1), ⟨10.1038/s41598-021-82375-1⟩

International audience; Conservation agriculture (CA) has been promoted to mitigate climate change, reduce soil erosion, and provide a variety of ecosystem services. Yet, its impacts on crop yields remains controversial. To gain further insight, we m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::4b2b586ffb7985b431e85e1c271a026d
https://doaj.org/article/ff2172d30f60446cba85a3edc0ebf955

Crop adaptation and improvement for drought-prone environments

Autor: Kane, Ndjido Ardo (ed.), Foncéka, Daniel (ed.), Dalton, Timothy J. (ed.)

This book focuses on three important elements in the development of cereal and legume crops in semi-arid West Africa. The first section illustrates the socioeconomic factors that affect the food system for these crops and contains an overview of crop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3631::78166760a2a2cf4176f1160b75ea5ce4
http://agritrop.cirad.fr/604091/

Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components

Autor: Midingoyi, Cyrille Ahmed, Pradal, Christophe, Enders, Andreas, Fumagalli, Davide, Raynal, Hélène, Donatelli, Marcello, Athanasiadis, Ioannis N., Porter, Cheryl, Hoogenboom, Gerrit, Holzworth, Dean, Garcia, Frédérick, Thorburn, Peter, Martre, Pierre

Publikováno v: Environmental Modelling and Software
Environmental Modelling and Software, Elsevier, 2021, 142, ⟨10.1016/j.envsoft.2021.105055⟩
Environmental Modelling and Software, 2021, 142, pp.#105055. ⟨10.1016/j.envsoft.2021.105055⟩
Environmental Modelling and Software 142 (2021)
Environmental Modelling and Software, 142

International audience; Process-based crop models are popular tools to analyze and simulate the response of agricultural systems to weather, agronomic, or genetic factors. They are often developed in modeling platforms to ensure their future extensio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::092574e68d012d10e1708b38f797b659
https://hal.inria.fr/hal-03231805