Convolutional Neural Networks for the Intuitive Identification of Plant Diseases

DR Reddy, KN Santhosh… - … Conference on Inventive …, 2022 - ieeexplore.ieee.org
Plant phenotyping analysis is in high demand for non-destructive systems, which can
accurately calculate plant growth and its structural parameters. In this work the growth of …

Classification of Rice Leaf using RCNN with Transfer Learning

K Iyswaryalakshmi, MO Ramkumar… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
Bangladesh, as one of the 10 leading rice suppliers and users in the globe, heavily relies on
grain to power its economic system and meet its food demand. Rice is one of the world's …

Analyzing computational response and performance of deep convolution neural network for plant disease classification using plant leave dataset

L Kumar, DK Singh - 2021 10th IEEE International Conference …, 2021 - ieeexplore.ieee.org
Computer vision plays a vital role in the area of agriculture for various applications like
irrigation monitoring, animal monitoring in farm areas, plant classification, disease detection …

Artificial Intelligence based Crop Recommendation and Plant Leaf Disease Detection System

S Shilaskar, S Bhatlawande, S Godbole… - 2022 3rd …, 2022 - ieeexplore.ieee.org
Identification of plant diseases and providing a remedy is crucial to eliminate farm losses
and increase agricultural yield. Every year farmers must bear huge damages due to plant …

Oryza Sativa Leaf Disease Detection using Transfer Learning

AS Musthafa, M Ambika, KN Abinaya… - … Computing and Data …, 2022 - ieeexplore.ieee.org
Oryza sativa (Rice) is the world's most significant cereal harvest. It is taken as a staple feast
for energy by the greater part of the total populace. Abiotic and biotic components like …

Plant disease detection using convolution neural network

M Shobana, S Vaishnavi, PK SP… - 2022 International …, 2022 - ieeexplore.ieee.org
Agriculture is the backbone of civilization. It has equal importance like the technological
growth. Major challenge in agriculture is prevent the plant from getting diseases by insects …

Classification of plant leaf diseases using machine learning and image preprocessing techniques

P Sharma, P Hans, SC Gupta - 2020 10th international …, 2020 - ieeexplore.ieee.org
Agriculture is one of the main factor that decides the growth of any country. In India itself
around 65% of the population is based on agriculture. Due to various seasonal conditions …

Exploiting pre-trained convolutional neural networks for the detection of nutrient deficiencies in hydroponic basil

Z Gul, S Bora - Sensors, 2023 - mdpi.com
Due to the integration of artificial intelligence with sensors and devices utilized by Internet of
Things technology, the interest in automation systems has increased. One of the common …

A machine learning technique for identification of plant diseases in leaves

N Rashmi, C Shetty - 2021 6th international conference on …, 2021 - ieeexplore.ieee.org
Plant diseases are the common reason for low yield and reduced income to the farmers.
Currently, researchers are trying their best to find a mechanism that automatically detects the …

An ai based system design to develop and monitor a hydroponic farm

G Dbritto, S Hamdare - … Conference on Smart City and Emerging …, 2018 - ieeexplore.ieee.org
Soil Erosion leads to decrease in agricultural production leading to desertification. Also
Factors like Overuse of Fertilizer which increases the salinity of the soil; Global warming and …