Intelligent Recognition of Leaf Abnormalities Using Deep Learning Method

MN Anusha, PS Prafulla, K Prabhavathi… - … on Recent Advances …, 2023 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) have significantly improved the detection of different
diseases affecting plants. The impact of unidentified and untreated plant diseases is to …

Classification of Nutritional Deficiencies in Cabbage Leave Using Random Forest

NR Chauhan, RK Shukla, AS Sengar… - … Conference on System …, 2022 - ieeexplore.ieee.org
Now a day agriculture is very important in India since it is a growing nation. But generally the
crop production attained by farmers would be much below the optimal production. It is very …

A cnn based framework for comparison and recognition of leaf diseases

MMH Rao, TM Anuhya, V Sravani… - … Journal for Innovative …, 2023 - papers.ssrn.com
In India, 70% of the population works in agriculture. The remaining 30% of the population is
integral to this field. Because crops, which are a staple diet for people, are one of the many …

Deep Neural Networks for Classifying Nutrient Deficiencies in Rice Plants Using Leaf Images

S Kolhar, J Jagtap, R Shastri - International Journal of …, 2024 - journal.uob.edu.bh
Nutrients are vital in ensuring expected crop growth and yield quality. Accurate identification
of nutrient deficiencies in plants is essential to provide appropriate supplements of fertilizers …

Comparative Study of Deep Learning Techniques for Detecting Tomato Plant Leaf Diseases Using Transfer Learning

PK Nalli, DP Garapati, MV Subbarao… - 2024 International …, 2024 - ieeexplore.ieee.org
Plant leaf diseases pose significant threats to crop yield and agricultural sustainability,
making early and accurate detection crucial for effective disease management. In recent …

[PDF][PDF] Plant nutrient deficiency detection using deep convolutional neural network

LA Wulandhari, AAS Gunawan, A Qurania, P Harsani… - ICIC Express Lett, 2019 - icicel.org
Nutrient deficiency is a common condition that can spread and affect plants, if it is not
handled quickly. For this time, deficiency surveillance is carried on manually which needs …

An Intuitive Convolutional Neural Network to Perceive Tomato Leaf Ailment

P Shourie, V Anand, H Gupta - 2023 14th International …, 2023 - ieeexplore.ieee.org
The biological properties of tomato leaves must be categorized to determine if the plant
needs to be treated with pesticides or insecticides to produce a decent harvest. To maximize …

Smart Phone-Centric Deep Nutrient Deficiency Detection Network for Plants

KU Kala - Proceedings of the International Conference on …, 2022 - Springer
Nutrients are essential for the plants as like humans. The deficiency of the nutrients can be
identified by trained specialists by analyzing the visual symptoms. It is a time-consuming …

Plant disease detection using resnet

U Archana, A Khan, A Sudarshanam… - 2023 International …, 2023 - ieeexplore.ieee.org
Deep learning and computer vision have recently emerged as useful methods for the
phenotyping of sick plant tissue. The majority of prior research focused on illness …

Agrolife: Machine Learning Based Plant Disease Classification System

A Rai, I Sharma, R Mhaskar… - 2023 IEEE World …, 2023 - ieeexplore.ieee.org
Agriculture is very important in developing countries like India, but there are still serious
issues with food security. Plant diseases are the primary cause of squandered crops and …