Farming Assistance for Soil Fertility Improvement and Crop Prediction using XGBoost
ITM Web Conf., 44 (2022) 03022
Published online: 2022-05-05
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Nutrient recommendation model for plantain (Musa AAB) cultivation based on the analysis of soil variables in the Department of Risaralda, Colombia
Alejandro Rodas-Vásquez, Cesar Manuel Castillo-Rodriguez, Maria Bermúdez-Edo, Alexander Molina-Cabrera, Julio César Chavarro-Porras and Carlos Augusto Meneses-EscobarJournal of the Saudi Society of Agricultural Sciences 25 (1) (2026)
https://doi.org/10.1007/s44447-025-00057-0
898 (2025)
https://doi.org/10.1109/IDCIOT64235.2025.10914900
157 (2025)
https://doi.org/10.4018/979-8-3693-9964-4.ch008
Enabling Data Collection and Analysis for Precision Agriculture in Smart Farms
Akhilesh Kumar Singh, Fru Ngwa Fru Junior, Ngu Leonel Mainsah and Bande Abdoul-RahmaneIEEE Transactions on AgriFood Electronics 3 (1) 69 (2025)
https://doi.org/10.1109/TAFE.2024.3454644
729 (2025)
https://doi.org/10.1109/ICICI65870.2025.11069972
AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations
Ayesha Khaliq, Atif Khan, Salman Jan, Muhammad Umair, Asad Gulshair, Ahmad Ali and Usman Ali ShahIEEE Access 13 141124 (2025)
https://doi.org/10.1109/ACCESS.2025.3594162
SELFVarBL: a Stacking-based Ensemble Learning Framework with Variable numbers of Base-Learners
Mrityunjay Singh, Shatrughan Modi and Amit Kumar JakharEvolutionary Intelligence 18 (5) (2025)
https://doi.org/10.1007/s12065-025-01085-z
1 (2025)
https://doi.org/10.1109/SPACE65882.2025.11171336
1 (2025)
https://doi.org/10.1109/NMITCON65824.2025.11188417
Analysis of Multi-Environment-Driven Variations in Net Photosynthetic Rate and Predictive Model Development for Tomatoes During Early Flowering and Fruit Development Stages in Winter Solar Greenhouses
Yongsan Cheng, Nianhua Li, Zongyao Li, Aiwu Zhou, Bin Li and Yanxiu MiaoHorticulturae 11 (11) 1367 (2025)
https://doi.org/10.3390/horticulturae11111367
(2025)
https://doi.org/10.2139/ssrn.5775303
1 (2025)
https://doi.org/10.1109/i-PACT65952.2025.11307883
XGBoost sequential system for the prediction of Persian lemon crop yield
Mildred Virginia López Segura, Alberto Alfonso Aguilar Lasserre, Gregorio Fernández Lámbert, Rubén Posada Gómez and Daniel Villanueva VásquezCrop Science 65 (1) (2025)
https://doi.org/10.1002/csc2.21148
1 (2024)
https://doi.org/10.1109/GCCIT63234.2024.10862107
188 (2024)
https://doi.org/10.1109/ICCCMLA63077.2024.10871356
(2024)
https://doi.org/10.21203/rs.3.rs-4310747/v1
71 (2024)
https://doi.org/10.1109/ICSCSS60660.2024.10625077
1 (2024)
https://doi.org/10.1109/COMPAS60761.2024.10796498
1281 (2024)
https://doi.org/10.1109/ICTACS62700.2024.10841092
Intelligent Sustainable Systems
Sri Silpa Padmanabhuni, J. Lakshmi Narayana, Konjeti Hema Lakshmi Bhavani, et al.Lecture Notes in Networks and Systems, Intelligent Sustainable Systems 665 137 (2023)
https://doi.org/10.1007/978-981-99-1726-6_11
1170 (2023)
https://doi.org/10.1109/ICAIS56108.2023.10073904
Feasibility of Using Machine Learning Algorithms for Yield Prediction of Corn and Sunflower Crops Based on Seeding Date
Alina Delia Călin, Horea-Bogdan Mureșan and Adriana Mihaela CoroiuStudia Universitatis Babeș-Bolyai Informatica 67 (2) 21 (2023)
https://doi.org/10.24193/subbi.2022.2.02
Internet of Things (IoT) Assisted Context Aware Fertilizer Recommendation
Arfat Ahmad Khan, Muhammad Faheem, Rab Nawaz Bashir, Chitapong Wechtaisong and Muhammad Zahid AbbasIEEE Access 10 129505 (2022)
https://doi.org/10.1109/ACCESS.2022.3228160