[HTML][HTML] Prediction of plant pest detection using improved mask FRCNN in cloud environment

P Deepika, B Arthi - Measurement: Sensors, 2022 - Elsevier
Abstract According to the Indian Food and Agriculture Organizations (FAO), agricultural
plants can disrupt the prospect of a worldwide productivity loss of about 20–40%. To avoid …

Crop disease prediction using deep learning algorithms

P Singh, M Kansal, MK Singh, S Kumar… - Convergence of cloud …, 2023 - igi-global.com
Good crops yield good food which in turn nourishes the human body and mind. But these
crops across the globe face the threat of various diseases that remain unidentified, leading …

Crop recommendation and disease detection using deep neural networks

A Singh, AK Bhamboo - 2022 IEEE 6th Conference on …, 2022 - ieeexplore.ieee.org
Indian farmers use traditional practices and view-points to fully use their land. Taking into
account the requirements of agriculture, the choice of crops is essential to farming. By …

[HTML][HTML] Two-Stage Ensemble Deep Learning Model for Precise Leaf Abnormality Detection in Centella asiatica

B Buakum, M Kosacka-Olejnik, R Pitakaso, T Srichok… - AgriEngineering, 2024 - mdpi.com
Leaf abnormalities pose a significant threat to agricultural productivity, particularly in
medicinal plants such as Centella asiatica (Linn.) Urban (CAU), where they can severely …

Application of AI Technology and Image Processing to Smart Agriculture: Detection and Classification of Plant Diseases

R Ramyashree, VR AS - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Every country's fundamental necessity is agricultural products. Infected plants have a
detrimental impact on agricultural output and economic assets in the country. According to …

Classification of Crop diseases through Remote-sensed data using Multi-class SVM

AC Ramachandra, N Rajesh… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
One of the main obstacles to quantitative yield prediction and choosing the control
parameters that increase the yield of any crop is the detection of illness in crops. Therefore …

A Comparison of Deep Learning Models for Predicting Calcium Deficiency Stage in Tomato Fruits

TT Tran, MT Tran, VD Tran, THP Thi - The International Conference on …, 2023 - Springer
Identifying and predicting nutritional deficiencies during the growing process of the tomato
plant (Solanum Lycopersicum L.) is crucial since mineral nutrients are essential to plant …

Tomato Plant Disease Detection using Deep Learning Based Techniques: A Comparative study

P Deepika, B Arthi - 2023 Second International Conference on …, 2023 - ieeexplore.ieee.org
Tomato is most widely used and important crop in India. It plays a significant role in
agriculture. Tomato plant grows in short period of time yields more tomatoes. Tomato is good …

[PDF][PDF] Advancements in Crop Disease Detection: Analytical Methods for Recognizing Disease Stages through Leaf Analysis

SM Durga, V Sri, N Kumari - J. Electrical Systems, 2024 - pdfs.semanticscholar.org
Plant diseases have the potential to damage the livelihoods of farmers and impede their
capacity to generate an adequate quantity of food. Diagnosis and early detection of plant …

Interpretable Deep Learning for Diagnosis of Maize Streak Disease

MF Kalyango, KM Ntanda - 2023 First International Conference …, 2023 - ieeexplore.ieee.org
Maize Streak Disease (MSD) caused by the maize streak virus remains a significant
agricultural challenge during the 4th industrial revolutions, as it poses a substantial threat to …