[PDF][PDF] Real time IoT application for classification of crop diseases using machine learning in cloud environment

TB Thakur, AK Mittal - IJISME, 2020 - academia.edu
India is an agricultural country. A total of 61.5% of the people cultivate in India. Due to lack of
agricultural land and change of weather, manytypes of diseases occur on crops and insects …

Smart paddy field monitoring system using deep learning and IoT

PK Sethy, SK Behera, N Kannan… - Concurrent …, 2021 - journals.sagepub.com
Paddy is an essential nutrient worldwide. Rice gives 21% of worldwide human per capita
energy and 15% of per capita protein. Asia represented 60% of the worldwide populace …

DCrop: A deep-learning based framework for accurate prediction of diseases of crops in smart agriculture

V Pallagani, V Khandelwal, B Chandra… - … symposium on smart …, 2019 - ieeexplore.ieee.org
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 …

IoT based soil nutrition and plant disease detection system for smart agriculture

S Suhag, N Singh, S Jadaun, P Johri… - 2021 10th IEEE …, 2021 - ieeexplore.ieee.org
In the coming years, farmers will face challenges to feed the increasing number of
populations. They need to ensure food security and reduce the dependency on imports. The …

[PDF][PDF] An effective identification of crop diseases using faster region based convolutional neural network and expert systems

P Chandana, GP Ghantasala, JRV Jeny… - International Journal of …, 2020 - academia.edu
The majority of research Study is moving towards cognitive computing, ubiquitous
computing, internet of things (IoT) which focus on some of the real time applications like …

Paddy plant disease classification and prediction using convolutional neural network

GK Sagarika, SJK Prasad… - … Conference on Recent …, 2020 - ieeexplore.ieee.org
India and other Asian countries have been facing challenges over couple of decades which
affect the yield in paddy plants. Challenges listed are dropping water resources/rainfall, lack …

[PDF][PDF] Plant leaf disease detection and classification using conventional machine learning and deep learning

HS Jayswal, JP Chaudhari - International Journal on Emerging …, 2020 - academia.edu
Agricultural field plays an important role for Gross Domestic Product (GDP) of any country.
Plants are very important as they are supply source to human being. In Most of developing …

Deep learning and IoT for agricultural applications

D Garg, M Alam - Internet of Things (IoT) Concepts and Applications, 2020 - Springer
Presently it is really difficult to deal with agriculture and its requirements. The majority of the
country's population depends entirely on agriculture. Food production should also be …

A polyhouse: plant monitoring and diseases detection using CNN

N Radha, R Swathika - 2021 International conference on …, 2021 - ieeexplore.ieee.org
Poly-house farming is broadly used way for farming in now days. Poly-house will provide the
required amount of water and fertilizers that result in high yields. The lack of air circulation …

Plant disease detection using convolutional neural network

J Kolli, DM Vamsi… - 2021 IEEE Bombay Section …, 2021 - ieeexplore.ieee.org
The global rise in population has led to a shortage of raw materials and food supplies. The
agricultural sector has become the primary and most vital source to overcome this particular …