[HTML][HTML] A comprehensive review on detection of plant disease using machine learning and deep learning approaches
C Jackulin, S Murugavalli - Measurement: Sensors, 2022 - Elsevier
Agriculture plays a significant part in India due to their population growth and increased food
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …
demands. Hence, there is a need to enhance the yield of crop. One of these important effects …
Leaf disease detection using machine learning and deep learning: Review and challenges
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 …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
Continuous monitoring of chemical signals in plants under stress
P Coatsworth, L Gonzalez-Macia, ASP Collins… - Nature Reviews …, 2023 - nature.com
Time is an often-neglected variable in biological research. Plants respond to biotic and
abiotic stressors with a range of chemical signals, but as plants are non-equilibrium systems …
abiotic stressors with a range of chemical signals, but as plants are non-equilibrium systems …
Machine learning in agriculture: a review of crop management applications
Abstract Machine learning has created new opportunities for data-intensive study in
interdisciplinary domains as a result of the advancement of big data technologies and high …
interdisciplinary domains as a result of the advancement of big data technologies and high …
Deep learning for plant disease detection
MM Khalid, O Karan - International Journal of Mathematics, Statistics, and …, 2024 - ijmscs.org
Agriculture, an essential bedrock of human survival, continually grapples with the menace of
plant diseases, culminating in substantial yield reductions. While conventional detection …
plant diseases, culminating in substantial yield reductions. While conventional detection …
A review on machine learning and deep learning image-based plant disease classification for industrial farming systems
Plants can be affected by various diseases. As such, the early detection of crop diseases
plays an essential role in the farming industry. However, such detection requires extensive …
plays an essential role in the farming industry. However, such detection requires extensive …
CottonLeafNet: cotton plant leaf disease detection using deep neural networks
India is a cover crop region whereby agricultural production sustains a substantial
proportion of the populace and upon which the whole Indian economy is heavily reliant. As …
proportion of the populace and upon which the whole Indian economy is heavily reliant. As …
High-performance plant pest and disease detection based on model ensemble with inception module and cluster algorithm
M Li, S Cheng, J Cui, C Li, Z Li, C Zhou, C Lv - Plants, 2023 - mdpi.com
Protecting crop yields is the most important aspect of agricultural production, and one of the
important measures in preserving yields is the control of crop pests and diseases; therefore …
important measures in preserving yields is the control of crop pests and diseases; therefore …
Construction of deep learning-based disease detection model in plants
Accurately detecting disease occurrences of crops in early stage is essential for quality and
yield of crops through the decision of an appropriate treatments. However, detection of …
yield of crops through the decision of an appropriate treatments. However, detection of …
A deep learning model for rapid classification of tea coal disease
Y Xu, Y Mao, H Li, L Sun, S Wang, X Li, J Shen, X Yin… - Plant Methods, 2023 - Springer
Background The common tea tree disease known as “tea coal disease”(Neocapnodium
theae Hara) can have a negative impact on tea yield and quality. The majority of …
theae Hara) can have a negative impact on tea yield and quality. The majority of …