Using a model based on transfer learning and deep learning model, we present in this study a technique for classifying Robusta coffee leaf disease photos into healthy and unhealthy classes. The MobileNetV2 network serves as the model since its network design is sim...
This research introduces a pioneering mobile application equipped with global positioning system (GPS)-enabled reporting capabilities for on-site coffee leaf disease detection. The application integrates advanced deep learning (DL) techniques to empower farmers and agronomists with a rapid and accurate ...
Sarkar C, Gupta D, Gupta U et al (2023) Leaf disease detection using machine learning and deep learning: review and challenges. Appl Soft Comput. https://doi.org/10.1016/j.asoc.2023.110534 Article MATH Google Scholar Selvanarayanan R, Rajendran S (2023) Roaming the coffee plantations using...
Dr. Brown said: "With hill farmers unable to afford fungicides, early detection of coffee leaf rust and removal of infected trees is critical. We will use drones to gather multispectral image data to identify coffee plants in hillside fields and identify initial signatures for detection of coffee...
Within a few months, Juan observed significant improvements. The spread ofcoffee leaf rustslowed, and his plants began to recover. The application ofBacillus subtilis fungicideandBacillus amyloliquefaciens fungicide asbiological control of coffee leaf rust proved highly effective, reducing disease pressure ...
In vitro development of embryoids from punched leaf discs of Coffea canephora. Protoplasma 15:208–216; 1983. Article Google Scholar Raina, S. N.; Mukai, Y.; Yamamoto, M. In situ hybridization identifies the diploid progenitor species of Coffea arabica (Rubiaceae). Theor. Appl. Genet. 97...
A., 2019. A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust. arXiv e-prints arXiv:1904.00742. , 2019 Google Scholar [27] Mohanty S., Hughes D., Salathe M. Using deep learning for image-based plant disease detection. Mohanty, S., ...
Rose is a plant of high nutritional requirement, susceptible to powdery mildew disease caused by fungus Oidium leucoconium, which causes leaf fall and losses in flower production. The objective of this study was to evaluate powdery milde... 被引量: 0发表: 0年 Fungicidal Mixtures of Triticonazo...
For the metAML random forest parameters, we used 1,000 estimator trees, 10% of the total number of features sampled in each tree, a minimum of 10 samples for each leaf and Shannon entropy as impurity criterion, as previously used25,68,69,70. Input features were SGB-level only relative ...
Leaf samples were collected from the germplasm plantation at CATIE (Centro Agronómico Tropical de Investigación y Enseñanza – Centre for Tropical Agricultural Research and Higher Education), Costa Rica. DNA extraction, pooling and quality were described in Tran et al. (2018) except the 18 samp...