AIMC Topic: Alternaria
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Optimized convolutional neural networks for real-time detection and severity assessment of early blight in tomato (Solanum lycopersicum L.).
Fungal genetics and biology : FG & B
Apr 24, 2025
Early blight, caused by Alternaria alternata, poses a critical challenge to tomato (Solanum lycopersicum L.) production, causing significant yield losses worldwide. Despite advancements in plant disease detection, existing methods often lack the robu...
Alternaria spore exposure in Bavaria, Germany, measured using artificial intelligence algorithms in a network of BAA500 automatic pollen monitors.
The Science of the total environment
Nov 17, 2022
Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition systems have not been trained to recognize these particles until now. Here we report the development of a new algorithm able to classify Alternaria s...
Diagnosis of Alternaria disease and leafminer pest on tomato leaves using image processing techniques.
Journal of the science of food and agriculture
Jun 25, 2022
BACKGROUND: Diseases such as Alternaria and pests such as leafminer threaten tomato as one of the most widely used agricultural products. These pests and diseases first damage the leaves of tomatoes, then the flowers, and finally the fruit. Therefore...
[Inhibition of Bacillus pumilus AR03 on Alternaria alternata and Erysiphe cichoracearum on tobacco].
Ying yong sheng tai xue bao = The journal of applied ecology
Oct 1, 2015
This study aimed to evaluate the efficiency of Bacillus pumilus AR03 against Altenaria alternata and Erysiphe cichoracearum. The antagonistic activities were studied in the way of co-culture on plate, inhibition of pathogen conidia germination on con...
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