← Back to work
Works cited by this work
158 works
Work: Advancing agriculture with machine learning: a new frontier in weed management
Machine Learning: Algorithms, Real-World Applications and Research Directions
Review article20219 citationsABIEcosystem consequences of herbicides: the role of microbiome
Suvi Ruuskanen, Benjamin Fuchs, Riitta Nissinen +4
Review article20223 citationsABICrop Prediction Model Using Machine Learning Algorithms
Ersin Elbaşı, Chamseddine Zaki, Ahmet E. Topcu +5
Article20233 citationsABISupervised Machine Learning: A Brief Primer
Tammy Jiang, Jaimie L. Gradus, Anthony J. Rosellini
Review article20202 citationsABIUnsupervised K-Means Clustering Algorithm
Kristina P. Sinaga, Miin‐Shen Yang
Article20202 citationsABIAdvances in site‐specific weed management in agriculture—A review
Roland Gerhards, Dionisio Andújar Sánchez, Pavel Hamouz +3
Article20222 citationsABIBig Data for weed control and crop protection
F.K. van Evert, S. Fountas, Dušan Jakovetić +3
Article20172 citationsABIIntegrated Weed Management in Herbaceous Field Crops
Aurelio Scavo, Giovanni Mauromicale
Article20202 citationsABISoil Health and Sustainable Agriculture
Monther Mohumad Tahat, Kholoud M. Alananbeh, Yahia A. Othman +1
Article20202 citationsABIAn ecological future for weed science to sustain crop production and the environment. A review
Chloe MacLaren, Jonathan Storkey, Alexander Menegat +2
Review article20202 citationsABIDeep convolutional neural network models for weed detection in polyhouse grown bell peppers
A. Subeesh, Swapnil Bhole, Kuldeep Singh +5
Article20222 citationsABIHerbicide Fate and Transport in the Great Barrier Reef: A Review of Critical Parameters
Kamrun Nahar, Justine Baillie, Noor Azwa Zulkarnain
Review article20232 citationsABI