Automatic identification of diseases in grains crops through computational approaches: A review
R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
Smart agriculture: A literature review
Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging
technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing …
technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing …
Hispa rice disease classification using convolutional neural network
The current work focuses on implementing a rice disease detection (RDD) system on hispa
rice disease by using real-time rice plant images collected from rice fields of Punjab, trained …
rice disease by using real-time rice plant images collected from rice fields of Punjab, trained …
[PDF][PDF] Plant Disease Diagnosis and Image Classification Using Deep Learning.
Indian agriculture is striving to achieve sustainable intensification, the system aiming to
increase agricultural yield per unit area without harming natural resources and the …
increase agricultural yield per unit area without harming natural resources and the …
Rice diseases detection using convolutional neural networks: a survey
Crop diseases have become a common part of the agricultural field and with the growth of
the agricultural field, these crop diseases are also increasing day by day. Rice crop is one of …
the agricultural field, these crop diseases are also increasing day by day. Rice crop is one of …
Disease detection in rice leaves using transfer learning techniques
Recent development in deep learning techniques have had a massive impact in the field of
agricultural disease detection. The negative impact of pest and bacterial diseases to rice …
agricultural disease detection. The negative impact of pest and bacterial diseases to rice …
Application of machine learning in industry 4.0
The fourth industrial revolution, Industry 4.0, is concerned with the ongoing changes and
advances in the way of manufacturing and processes involved for the production of goods …
advances in the way of manufacturing and processes involved for the production of goods …
Mycobacterium tuberculosis detection using CNN ranking approach
The main reason behind the large number of mortality among homo-sapiens is due to
Mycobacterium tuberculosis (TB). Majorly, TB can be classified into two categories named …
Mycobacterium tuberculosis (TB). Majorly, TB can be classified into two categories named …
Identification and classification of rice plant disease using hybrid transfer learning
MH Tunio, L Jianping, MHF Butt… - 2021 18th International …, 2021 - ieeexplore.ieee.org
The Rice crop is considered one of the most widely grown crops in Asia and it is susceptible
to various types of illnesses at different stages of production. Food safety and production can …
to various types of illnesses at different stages of production. Food safety and production can …
Classification system for prediction of chronic kidney disease using data mining techniques
I Saha, MK Gourisaria, GM Harshvardhan - Advances in Data and …, 2022 - Springer
Chronic kidney disease leads to the dysfunctioning of kidneys where it is unable to regulate
and filter minerals from the blood. To help the medical experts, this paper shows the …
and filter minerals from the blood. To help the medical experts, this paper shows the …