Leaf disease classification in smart agriculture using deep neural network architecture and IoT
The Internet of Things (IoT) is bringing a new dimension to the smart farming market. This
helps the user to collect the data from the agricultural fields in real time and move it to …
helps the user to collect the data from the agricultural fields in real time and move it to …
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 …
Iot based smart agriculture and plant disease prediction
MSB Murugan, MK Rajagopal… - Journal of Physics …, 2021 - iopscience.iop.org
Agriculture is a very prominent sector in our country and has been one of the highest
contributors to the GDP. During the 1960s, an all-time high was reached with approximately …
contributors to the GDP. During the 1960s, an all-time high was reached with approximately …
Artificial Intelligence Based Plant Disease Detection
Plant disease is the key issue for the farmers, which leads to lesser income and minimal
outcome. Pest affected crop also results in small agricultural production of the country. The …
outcome. Pest affected crop also results in small agricultural production of the country. The …
Automatic leaf diseases detection and classification of cucumber leaves using internet of things and machine learning models
Automation of agriculture with the use of cutting-edge technology is a growing research
area. It addresses the issue of better yields and tries to mitigate the negative impact due to …
area. It addresses the issue of better yields and tries to mitigate the negative impact due to …
Smart agriculture implementation using IoT and leaf disease detection using logistic regression
T Rajeshwari, PAH Vardhini… - … conference on recent …, 2021 - ieeexplore.ieee.org
The need of robotics, automation, IoT and its implementation based on precision agriculture
is very much necessary to eliminate the usage of manpower in farming. In order to make this …
is very much necessary to eliminate the usage of manpower in farming. In order to make this …
Farm monitoring and disease prediction by classification based on deep learning architectures in sustainable agriculture
Agriculture is necessary for all human activities to survive. Overpopulation and resource
competitiveness are major challenges that threaten the planet's food security. Smart farming …
competitiveness are major challenges that threaten the planet's food security. Smart farming …
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 …
An IoT-based intelligent farming using CNN for early disease detection in rice paddy
O Debnath, HN Saha - Microprocessors and Microsystems, 2022 - Elsevier
Huge economic losses occur in the agricultural industry due to bacterial, viral or fungal
infections in crops due to which farmers incur 15–20% losses on their profits annually. India …
infections in crops due to which farmers incur 15–20% losses on their profits annually. India …
Efficient disease detection of paddy crop using CNN
PAH Vardhini, S Asritha, YS Devi - … International conference on …, 2020 - ieeexplore.ieee.org
Agriculture plays a very vital role in every individual life. Without food there exists no life in
this world. For that to happen, proper yield of crops is necessary. But these days getting …
this world. For that to happen, proper yield of crops is necessary. But these days getting …