Systematic literature review: application of deep learning processing technique for fig fruit detection and counting

ASF Kamaruzaman, AIC Ani, MAHM Farid… - Bulletin of Electrical …, 2023 - beei.org
Deep learning has shown much promise in target identification in recent years, and it's
becoming more popular in agriculture, where fig fruit detection and counting have become …

[HTML][HTML] An Auto-detection and classification algorithm for identification of sand dunes based on remote sensing images

Y Tang, Z Wang, Y Jiang, T Zhang, W Yang - International Journal of …, 2023 - Elsevier
Dunes are among the most abundant aeolian landforms found on Earth and other planets.
The automatic mapping of dunes over large-scale areas is crucial for predicting, monitoring …

Plant Disease Detection Strategy Based on Image Texture and Bayesian Optimization with Small Neural Networks

JF Restrepo-Arias, JW Branch-Bedoya, G Awad - Agriculture, 2022 - mdpi.com
A novel method of disease diagnosis, based on images that capture every part of a diseased
plant, such as the leaf, the fruit, the root, etc., is presented in this paper. As is well known, the …

A comparative analysis of efficient convolutional neural network based methods for plant disease classification

R Mahbub, SS Anuva, IT Khan… - 2022 25th international …, 2022 - ieeexplore.ieee.org
Ensuring global food sufficiency and security is one of the prime challenges of the twenty-
first century. The most effective approach to tackle this challenge is to ensure a healthy …

Método de clasificación de imágenes, empleando técnicas de inteligencia artificial, integrado a una plataforma IoT de agricultura inteligente

JF Restrepo-Arias - 2023 - repositorio.unal.edu.co
La mayor parte de las variables que se miden en un cultivo agrícola solo pueden ser
detectadas de manera visual, por ejemplo, el inventario de plantas y frutos, el desarrollo y …

Improving Classification Model for Potato Leaf Disease Detection Process Using Deep Learning-Based MobileNet Architecture

R Setiani, AF Nugraha, A Sunyoto… - … Multimedia, Cyber and …, 2023 - ieeexplore.ieee.org
Agriculture is the backbone of the global economy for the world's growing population. As a
source of carbohydrates and essential nutrients, potatoes play a crucial role in the global …

Performance Analysis of Real-Time Object Detection algorithm for a Multi-Class Plant Disease Detection and Classification Using Deep Learning

NB Shah, A Gupta, A Kumar - 2023 11th International …, 2023 - ieeexplore.ieee.org
The Indian economy is highly dependent on agricultural yield. Although due to plant
diseases losses arise in terms of quality as well as quantity of agricultural products. In order …

Smart plant disease net: Adaptive Dense Hybrid Convolution network with attention mechanism for IoT-based plant disease detection by improved optimization …

N Ananthi, V Balaji, M Mohana… - Network: Computation in …, 2024 - Taylor & Francis
Plant diseases are rising nowadays. Plant diseases lead to high economic losses. Internet of
Things (IoT) technology has found its application in various sectors. This led to the …

KOMPARASI PENGGUNAAN DATA LAB DAN FIELD CONDITION UNTUK MEMBANGUN MODEL KLASIFIKASI PENYAKIT PADA DAUN APEL

ON Abada, C Rozikin, RI Adam - JATI (Jurnal Mahasiswa Teknik …, 2023 - ejournal.itn.ac.id
Produksi buah apel di Indonesia pada tahun 2021 mengalami penurunan sebanyak 6.807
Ton dibandingkan dengan tahun sebelumnya. Salah satu faktor yang berkontribusi dalam …

Automated G-4 Disease Identification Agricultural Intelligent System: An impression and survey

SDCSE Araujo, VS Malemathh… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Detection of diseases in plants in the preliminary phase is crucial to achieve management
and control of the disease. This requires specialists with the skill set to distinguish the …