Computational method for Cotton Plant disease detection of crop management using deep learning and internet of things platforms
Cotton is a major crop from income point of view in India. Cotton crops are damaged due to
early fall off leaf or leaf will get infected due to diseases. Due to sudden change in climatic …
early fall off leaf or leaf will get infected due to diseases. Due to sudden change in climatic …
A convolution neural network based approach to detect the disease in corn crop
The agricultural production is affected by the climate changes ie humidity, rain, extremes of
temperature etc. Additionally, abiotic stresses are causative element to the etiology of …
temperature etc. Additionally, abiotic stresses are causative element to the etiology of …
Plant diseases recognition using machine learning
MR Ullah, NA Dola, A Sattar… - 2019 8th International …, 2019 - ieeexplore.ieee.org
The way a doctor can predict what kind of diseases a patient is suffering from, similarly, the
fastest stratagem of predicting plant diseases is to analyze leaf's physiognomy changes and …
fastest stratagem of predicting plant diseases is to analyze leaf's physiognomy changes and …
A survey on disease detection of a potato leaf using cnn
India is an agricultural nation and crops yield rate is a serious concern over the nation.
Lesser the production, higher the price of such crops and higher the hunger problem for …
Lesser the production, higher the price of such crops and higher the hunger problem for …
Automatic detection of tea leaf diseases using deep convolution neural network
In India, tea is the most consumed and popular beverage, all over the world too. It is one of
the popular and widely cultivated perennial plantation crop in our state. Their productions …
the popular and widely cultivated perennial plantation crop in our state. Their productions …
Classification of Vegetative pests for cucumber plants using artificial neural networks
M Waleed, AS Abdullah… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
One of the topics that occupies many articles is the improvement of medical diagnostic
processes, where many articles have begun to elicit algorithms to increase the efficiency of …
processes, where many articles have begun to elicit algorithms to increase the efficiency of …
The real-time mobile application for identification of diseases in coffee leaves using the CNN model
LA Pinto, L Mary, S Dass - 2021 Second International …, 2021 - ieeexplore.ieee.org
Coffee plants are extremely susceptible to a wide range of pests and diseases. Usage of
reckless pesticides can lead to increased pathogen resistance in the long run, severely …
reckless pesticides can lead to increased pathogen resistance in the long run, severely …
Detection of corn leaf diseases using convolutional neural network with openmp implementation
DA Padilla, RAI Pajes… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
Maize is particularly one of the substantial crop supplies in the Philippines next to rice. The
production of the maize crop plays a critical factor in the country's food industry. Disease is …
production of the maize crop plays a critical factor in the country's food industry. Disease is …
A model for prediction of paddy crop disease using CNN
The agriculture industry is the most important industry for society as it serves the most
important need of life. But the plant diseases in agriculture lead to a decrease in productivity …
important need of life. But the plant diseases in agriculture lead to a decrease in productivity …
Identification of disease in potato leaves using Convolutional Neural Network (CNN) algorithm
AJ Rozaqi, A Sunyoto - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Potato crops have many benefits for human life, one of the most useful benefits of potatoes
for humans is the carbohydrate content in them and carbohydrates are the main food for …
for humans is the carbohydrate content in them and carbohydrates are the main food for …