Results 11 to 20 of about 706,120 (350)

Plant diseases and pests detection based on deep learning: a review

open access: yesPlant Methods, 2021
Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means of digital image processing.
Jun Liu, Xuewei Wang
semanticscholar   +1 more source

MobileNet-CA-YOLO: An Improved YOLOv7 Based on the MobileNetV3 and Attention Mechanism for Rice Pests and Diseases Detection

open access: yesAgriculture, 2023
The efficient identification of rice pests and diseases is crucial for preventing crop damage. To address the limitations of traditional manual detection methods and machine learning-based approaches, a new rice pest and disease recognition model based ...
Liangquan Jia   +6 more
semanticscholar   +1 more source

Small Pests Detection in Field Crops Using Deep Learning Object Detection

open access: yesSustainability, 2023
Deep learning algorithms, such as convolutional neural networks (CNNs), have been widely studied and applied in various fields including agriculture. Agriculture is the most important source of food and income in human life.
Saim Khalid   +3 more
semanticscholar   +1 more source

Fungal Endophytes and Their Role in Agricultural Plant Protection against Pests and Pathogens

open access: yesPlants, 2022
Virtually all examined plant species harbour fungal endophytes which asymptomatically infect or colonize living plant tissues, including leaves, branches, stems and roots. Endophyte-host interactions are complex and span the mutualist–pathogen continuum.
Rachel Grabka   +6 more
semanticscholar   +1 more source

Machine Learning for Detection and Prediction of Crop Diseases and Pests: A Comprehensive Survey

open access: yesAgriculture, 2022
Considering the population growth rate of recent years, a doubling of the current worldwide crop productivity is expected to be needed by 2050. Pests and diseases are a major obstacle to achieving this productivity outcome.
T. Domingues   +2 more
semanticscholar   +1 more source

Deep Learning Based Detector YOLOv5 for Identifying Insect Pests

open access: yesApplied Sciences, 2022
Insect pests are a major element influencing agricultural production. According to the Food and Agriculture Organization (FAO), an estimated 20–40% of pest damage occurs each year, which reduces global production and becomes a major challenge to crop ...
I. Ahmad   +7 more
semanticscholar   +1 more source

Management of Insect Pests with Bt Crops in the United States.

open access: yesAnnual Review of Entomology, 2022
Genetically engineered corn and cotton that produce insecticidal toxins derived from the bacterium Bacillus thuringiensis (Bt) have been used to manage insect pests in the United States and elsewhere.
A. Gassmann, D. Reisig
semanticscholar   +1 more source

Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network

open access: yesFrontiers in Plant Science, 2020
Tomato is affected by various diseases and pests during its growth process. If the control is not timely, it will lead to yield reduction or even crop failure.
Jun Liu, Xuewei Wang
semanticscholar   +1 more source

An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model

open access: yesIEEE Access, 2022
Crop pests are to blame for significant economic, social, and environmental losses worldwide. Various pests have different control strategies, and precisely identifying pests has become crucial to pest control and is a significant difficulty in ...
Naeem Ullah   +5 more
semanticscholar   +1 more source

Identification of Fruit Tree Pests With Deep Learning on Embedded Drone to Achieve Accurate Pesticide Spraying

open access: yesIEEE Access, 2021
Tessaratoma papillosa (Drury) first invaded Taiwan in 2009. Every year, T. papillosa causes severe damage to the longan crops. Novel applications for edge intelligence are applied in this study to establish an intelligent pest recognition system to ...
Ching-Ju Chen   +5 more
semanticscholar   +1 more source

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