Image processing techniques for detecting and classification of plant disease: a review

GG Hungilo, G Emmanuel, AWR Emanuel - Proceedings of the 2019 …, 2019 - dl.acm.org
Agriculture is the main contributor to Tanzania Economy. Apart from climate change, disease
acts as one of contributing factors which results in the poor production of the most important …

Improved SVM-based soil-moisture-content prediction model for tea plantation

Y Huang - Plants, 2023 - mdpi.com
Accurate prediction of soil moisture content in tea plantations plays a crucial role in
optimizing irrigation practices and improving crop productivity. Traditional methods for SMC …

[PDF][PDF] A novel plant leaf ailment recognition method using image processing algorithms

S Thenmozhi, RJ Lakshmi, MV Kumudavalli… - Journal of Scientific & …, 2021 - op.niscpr.res.in
In the 21st Century, agriculture still remains the major source of food for human beings and it
has far shadowed other sources such as hunting, fishing and gathering. Since …

[PDF][PDF] Maize Plant Desease Identification (Zea Mays L. Saccharata) Using Image Processing and K-Nearest Neighbor (K-Nn)

P Harsan, A Qurania… - International Journal of …, 2018 - repository.unpak.ac.id
Plant pests of maize are known to attack in all phases of corn plant growth (Zea mays L.
saccharata), both vegetative and generative. Common pests found in maize are seed flies …

[PDF][PDF] Grapes' leaves disease detection through image processing.

R Sobolu, M Cordea, I Pop, D Popescu, D Pusta - 2019 - horticulturejournal.usamv.ro
Automatic detection of vineyards' Downey Mildew based on image processing techniques
provides better results compare to visual observation performed by farmers. This technique …