Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

[HTML][HTML] Remote sensing and machine learning in crop phenotyping and management, with an emphasis on applications in strawberry farming

C Zheng, A Abd-Elrahman, V Whitaker - Remote Sensing, 2021 - mdpi.com
Measurement of plant characteristics is still the primary bottleneck in both plant breeding
and crop management. Rapid and accurate acquisition of information about large plant …

[HTML][HTML] Powdery Mildew Caused by Erysiphe cruciferarum on Wild Rocket (Diplotaxis tenuifolia): Hyperspectral Imaging and Machine Learning Modeling for Non …

C Pane, G Manganiello, N Nicastro, T Cardi… - Agriculture, 2021 - mdpi.com
Wild rocket is a widely cultivated salad crop. Typical signs and symptoms of powdery mildew
were observed on leaves of Diplotaxis tenuifolia, likely favored by climatic conditions …

[HTML][HTML] Deep semantic segmentation for the quantification of grape foliar diseases in the vineyard

E Liu, KM Gold, D Combs, L Cadle-Davidson… - Frontiers in Plant …, 2022 - frontiersin.org
Plant disease evaluation is crucial to pathogen management and plant breeding. Human
field scouting has been widely used to monitor disease progress and provide qualitative and …

A review of powdery mildew in strawberries: the resistance of species, hybrids and cultivars to the pathogen is highly variable within and across studies with no …

CM Menzel - The Journal of Horticultural Science and …, 2022 - Taylor & Francis
Powdery mildew incited by Podosphaera aphanis is an important disease affecting
strawberry (Fragaria× ananassa Duch.). Cultivars that are resistant to the pathogen can …

[HTML][HTML] Estimation of strawberry crop productivity by machine learning algorithms using data from multispectral images

LS Oliveira, R Castoldi, GD Martins, MH Medeiros - Agronomy, 2023 - mdpi.com
Currently, estimations of strawberry productivity are conducted manually, which is a
laborious and subjective process. The use of more efficient and precise estimation methods …

[HTML][HTML] Effect of ozonated water, mancozeb, and thiophanate-methyl on the phyllosphere microbial diversity of strawberry

P Sun, J Wu, X Lin, Y Wang, J Zhu, C Chen… - Frontiers in Plant …, 2022 - frontiersin.org
Phyllosphere microorganisms are closely linked to plant health. This study investigated the
effect of ozonated water, mancozeb, and thiophanate-methyl on phyllosphere …

High throughput saliency-based quantification of grape powdery mildew at the microscopic level for disease resistance breeding

T Qiu, A Underhill, S Sapkota… - Horticulture …, 2022 - academic.oup.com
Imaging-based high throughput phenotyping (HTP) systems have demonstrated promising
solutions to enhance genetic understanding of grapevine powdery mildew (PM) resistance …

Development of a deep-learning phenotyping tool for analyzing image-based strawberry phenotypes

JN Ndikumana, U Lee, JH Yoo, S Yeboah… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction In strawberry farming, phenotypic traits (such as crown diameter, petiole length,
plant height, flower, leaf, and fruit size) measurement is essential as it serves as a decision …

Autonomous Hydroponic Environment with Live Remote Consulting System for Strawberry Farming

SL Samaranayake, S Krishmal… - … on Advancements in …, 2022 - ieeexplore.ieee.org
Strawberries are a very popular fruit and are widely consumed all over the world. Due to its
nutritional value, its consumption has increased tremendously in recent times. Strawberry …