An automated prediction of crop and fertilizer disease using Convolutional Neural Networks (CNN)
GE Rani, E Venkatesh, K Balaji… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The main motive of this project is “to create a website for the farmers to get a better crop,
fertilizer recommendation, and plant disease prediction”. The Open Weather API is used to …
fertilizer recommendation, and plant disease prediction”. The Open Weather API is used to …
Plant disease prediction using convolutional neural network
Every year India losses the significant amount of annual crop yield due to unidentified plant
diseases. The traditional method of disease detection is manual examination by either …
diseases. The traditional method of disease detection is manual examination by either …
Smart System for Crop and Diseases Prediction using Random Forest and Resnet Architecture
T Kavitha, S Deepika, K Nattaraj… - … Computing and Data …, 2022 - ieeexplore.ieee.org
The agriculture plays an important role in the growth of every country's economy. In India,
Agriculture is one of the most important occupations and a large amount of food is produced …
Agriculture is one of the most important occupations and a large amount of food is produced …
Plant disease prediction using deep learning and IoT
AK Gupta, K Gupta, J Jadhav… - … on Computing for …, 2019 - ieeexplore.ieee.org
Crop diseases are a major threat to food security, but due to lack of infrastructure this area
remains untouched. We are proposing a system based on IoT and Deep Learning. This …
remains untouched. We are proposing a system based on IoT and Deep Learning. This …
A model for probabilistic prediction of paddy crop disease using convolutional neural network
Agriculture is the backbone of the human society as it is an essential need of every creature
present on this planet. Rice cultivation plays a vital role in the life of humans, especially in …
present on this planet. Rice cultivation plays a vital role in the life of humans, especially in …
Investigation and comparison of different CNN architectures on tomato leaf disease prediction using deep learning
N Krishnamoorthy, K Nirmaladevi, S Shanth… - AIP Conference …, 2021 - pubs.aip.org
The tomato crop is the most common vegetable plant in the Indian market which is
economically valuable and cultivated in enormous volumes. The productivity diminishes to …
economically valuable and cultivated in enormous volumes. The productivity diminishes to …
Healthy harvest: Crop prediction and disease detection system
S Bhansali, P Shah, J Shah, P Vyas… - 2022 IEEE 7th …, 2022 - ieeexplore.ieee.org
Economy of India highly depends on agriculture. Still traditional ways of recommendations
are used for agriculture. Currently, farmers use traditional ways of approximations for …
are used for agriculture. Currently, farmers use traditional ways of approximations for …
Indian Crop Yield Prediction using LSTM Deep Learning Networks
SM Kuriakose, T Singh - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Farming is considered as the backbone of our country, so it is very important to introduces
new facilities that would magnify farming. Finding the type of crop that farmers could sow …
new facilities that would magnify farming. Finding the type of crop that farmers could sow …
An application of machine learning technique in forecasting crop disease
G Fenu, FM Malloci - Proceedings of the 3rd International Conference on …, 2019 - dl.acm.org
In the recent years, Big Data Analytics and Machine Learning techniques are playing an
increasingly key role in the agriculture sector in order to tackle the increasing challenges …
increasingly key role in the agriculture sector in order to tackle the increasing challenges …
DCrop: A deep-learning based framework for accurate prediction of diseases of crops in smart agriculture
The human population has been increasing exponentially and is estimated that the total
population will be at 8.6 billion by mid-2030. This tremendous rise in population will demand …
population will be at 8.6 billion by mid-2030. This tremendous rise in population will demand …