Solomon W. Newete

University of the Witwatersrand

Papers

1

Total Citations

17

H-Index

1

About

Solomon W. Newete is a leading researcher in weed science and precision agriculture, with a focus on the ecological management of invasive plant species. His work bridges agronomy and artificial intelligence, particularly through the development of deep learning neural networks to control noxious weeds like Mexican poppy (*Argemone mexicana*) in cornfields. In his highly cited 2018 study, Newete demonstrated how AI can identify and target this persistent, deep-rooted weed even during dry seasons, addressing its ability to produce long-lasting seed banks. This contribution has earned 17 citations and highlights his innovative approach to sustainable crop protection. Newete’s research is vital for farmers battling invasive species that threaten food security, offering data-driven solutions that reduce herbicide reliance. His work stands at the intersection of ecology, technology, and practical agriculture, making him a key voice in the fight against resilient weeds in sub-Saharan Africa and beyond.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Mexican poppy (<i>Argemone mexicana</i>) control in cornfield using deep learning neural networks: a perspective
17 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of the Witwatersrand

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago