Abstract
Oumnia Ennaji, Leonardus Vergütz, Achraf El Allali
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Options for calibrating CERES-maize genotype specific parameters under data-scarce environments
10.1371/journal.pone.0200118 · 2019
Explainable artificial intelligence (xai): concepts, taxonomies, opportunities and challenges toward responsible ai
10.1016/j.inffus.2019.12.012 · 2020
Agricultural decision system based on advanced machine learning models for yield prediction: case of east african countries
10.1016/j.atech.2022.100048 · 2022
Detection of nutrition deficiencies in plants using proximal images and machine learning: a review
10.1016/j.compag.2019.04.035 · 2019
Crop yield prediction with efficient use of fertilizers
10.1007/978-981-16-3690-5_87 · 2022
Progress in research on site-specific nutrient management for smallholder farmers in sub-saharan africa
10.1016/j.fcr.2022.108503 · 2022
African agriculture in 50years: smallholders in a rapidly changing world?
10.1016/j.worlddev.2013.10.001 · 2014
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation
2023
The role of agriculture in african development
10.1016/j.worlddev.2009.06.011 · 2010
Gradient boosting for yield prediction of elite maize hybrid zhengdan 958
10.1371/journal.pone.0315493 · 2024
The assessment of soil variables relative importance for cereal yield prediction under rainfed cropping system in morocco
10.1016/j.atech.2025.100950 · 2025
Machine learning in nutrient management: a review
2023
From prediction to prescription: intelligent decision support for variable rate fertilization
1998
An explainable deep machine vision framework for plant stress phenotyping
10.1073/pnas.1716999115 · 2018
Principal challenges confronting smallholder agriculture in sub-saharan africa
10.1016/j.worlddev.2010.06.002 · 2010
A comprehensive review on automation in agriculture using artificial intelligence
2019
A review on the practice of big data analysis in agriculture
10.1016/j.compag.2017.09.037 · 2017
Deep learning in agriculture: a survey
10.1016/j.compag.2018.02.016 · 2018
Unresolved referenced work
Kept as external metadata until matched
Crop yield prediction using deep neural networks: a comprehensive review and case study
2023
Machine learning in agriculture: a review
10.3390/s18082674 · 2018
Machine learning in agriculture: a review
10.3390/s18082674 · 2018
Explainable artificial intelligence for agriculture and crop yield prediction: a survey
2022
Sub-saharan africa: the state of smallholders in agriculture
2011
Explainable ai (xai) in agriculture: concepts, techniques, and applications
2023
Using deep learning for image-based plant disease detection
10.3389/fpls.2016.01419 · 2016
Agriculture and environmental degradation in africa: the role of income
10.1016/j.scitotenv.2019.07.129 · 2019
Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review
10.1016/j.compag.2018.08.001 · 2018
Machine learning for large-scale crop yield forecasting
10.1016/j.agsy.2020.103016 · 2021
Agro based crop and fertilizer recommendation system using machine learning
2020
Examining the interplay between artificial intelligence and the agrifood industry
2022
Unresolved referenced work
2010
Machine learning: algorithms, real-world applications and research directions
10.1007/s42979-021-00592-x · 2021
Sociotechnical context and agroecological transition for smallholder farms in Benin and Burkina Faso
10.3390/agronomy10091447 · 2020
Crop yield prediction using machine learning: a systematic literature review
10.1016/j.compag.2020.105709 · 2020
Unresolved referenced work
2020
A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral uav imagery
10.3390/rs11131554 · 2019
A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral uav imagery
10.3390/rs11131554 · doi-reference
Crop yield prediction using machine learning: a systematic literature review
10.1016/j.compag.2020.105709 · doi-reference
Sociotechnical context and agroecological transition for smallholder farms in Benin and Burkina Faso
10.3390/agronomy10091447 · doi-reference
Machine learning: algorithms, real-world applications and research directions
10.1007/s42979-021-00592-x · doi-reference
Machine learning for large-scale crop yield forecasting
10.1016/j.agsy.2020.103016 · doi-reference
Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review
10.1016/j.compag.2018.08.001 · doi-reference
Agriculture and environmental degradation in africa: the role of income
10.1016/j.scitotenv.2019.07.129 · doi-reference
Using deep learning for image-based plant disease detection
10.3389/fpls.2016.01419 · doi-reference
Deep learning in agriculture: a survey
10.1016/j.compag.2018.02.016 · doi-reference
A review on the practice of big data analysis in agriculture
10.1016/j.compag.2017.09.037 · doi-reference
Principal challenges confronting smallholder agriculture in sub-saharan africa
10.1016/j.worlddev.2010.06.002 · doi-reference
An explainable deep machine vision framework for plant stress phenotyping
10.1073/pnas.1716999115 · doi-reference
The assessment of soil variables relative importance for cereal yield prediction under rainfed cropping system in morocco
10.1016/j.atech.2025.100950 · doi-reference
Gradient boosting for yield prediction of elite maize hybrid zhengdan 958
10.1371/journal.pone.0315493 · doi-reference
The role of agriculture in african development
10.1016/j.worlddev.2009.06.011 · doi-reference
African agriculture in 50years: smallholders in a rapidly changing world?
10.1016/j.worlddev.2013.10.001 · doi-reference
Progress in research on site-specific nutrient management for smallholder farmers in sub-saharan africa
10.1016/j.fcr.2022.108503 · doi-reference
Crop yield prediction with efficient use of fertilizers
10.1007/978-981-16-3690-5_87 · doi-reference
Machine learning in agriculture: a review
10.3390/s18082674 · doi-reference
Detection of nutrition deficiencies in plants using proximal images and machine learning: a review
10.1016/j.compag.2019.04.035 · doi-reference
Agricultural decision system based on advanced machine learning models for yield prediction: case of east african countries
10.1016/j.atech.2022.100048 · doi-reference
Explainable artificial intelligence (xai): concepts, taxonomies, opportunities and challenges toward responsible ai
10.1016/j.inffus.2019.12.012 · doi-reference
Options for calibrating CERES-maize genotype specific parameters under data-scarce environments
10.1371/journal.pone.0200118 · doi-reference