Logo Lanfrica

Millet yield estimations in Senegal: Unveiling the power of regional water stress analysis and advanced predictive modeling

Créateur:
EniVahJosA.
Éditeur:
Elsevier BV
Hôte:

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttp://creativecommons.org/licenses/by-nc/4.0/

Similaires

Regional Water-Stress Identification and Crop Yield Estimation in Senegal based on a Novel Water Demand Index

 Soil moisture, water demand, vegetation indexes and growing degree days values of Senegal betwee

Faidherbia albida trees form a natural buffer against millet water stress in agroforestry parklands in Senegal

Description of the subject. In central-west Senegal, agroforestry parklands dominated

Representation of rainfall in regional climate models and application to millet yield estimations in Senegal [Représentation de la pluie dans les modeles régionaux de climat et application à l'estimation des rendements du mil au Sénégal]

International audience The strong influence of climatic factors on agriculture and fo

Modeling of wind speed distribution for wind power analysis in the northwestern coast of Senegal

International audience Wind energy assessment plays a critical role in the exploitati

Numerical Estimation of Mango (Mangifera indica L.) Yield in Côte d'Ivoire Using Integrated Image Analysis and Predictive Modeling

International audience Aims: The present work aims to use a Faster R-CNN network comb

Using Artificial Intelligence and Deep Learning for Predictive Modeling in Regional Development

ABSTRACT This study explores the application of artificial intelligence and deep learning, particu