Results 51 to 60 of about 1,038,852 (333)

ENDOPHYTIC TESTING OF Serratia marcescens strain NPKC3_2_21 AGAINST INPARA 3 RICE VARIETY

open access: yesBiovalentia: Biological Research Journal, 2023
Pest management is a crucial concern, especially when dealing with insect pests that can cause extensive damage to agricultural crops and the economy.
Gunawan Sutio   +3 more
doaj   +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
doaj   +1 more source

An Intelligent Field Monitoring System Based on Enhanced YOLO-RMD Architecture for Real-Time Rice Pest Detection and Management

open access: yesAgriculture
This study presents a comprehensive solution for precise and timely pest monitoring in field environments through the development of an advanced rice pest detection system based on the YOLO-RMD model. Addressing critical challenges in real-time detection
Jiangdong Yin   +9 more
semanticscholar   +1 more source

Deep-Learning-Based Rice Disease and Insect Pest Detection on a Mobile Phone

open access: yesAgronomy, 2023
The realization that mobile phones can detect rice diseases and insect pests not only solves the problems of low efficiency and poor accuracy from manually detection and reporting, but it also helps farmers detect and control them in the field in a ...
Jizhong Deng   +8 more
semanticscholar   +1 more source

Uji Beberapa Dosis Tepung Daun Gamal (Gliricididia sepium Jacq.) Terhadap Sitophilus oryzae L. Pada Beras Di Penyimpanan

open access: yesJurnal Proteksi Tanaman, 2018
Rice is one of serealea comodity that susceptible with pest storage. One of the pest that often attack the rice in storage is Sitophilus oryzae L. The alternative for control S. oryzae L. as fumigant which enviromentally sound is Gliricidia sepium Jacq.
Rusli Rustam   +2 more
doaj   +1 more source

Stabilization of Single Metal Atoms on Graphitic Carbon Nitride: Synthetic Strategies and Emerging Applications

open access: yesAdvanced Science, EarlyView.
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang   +6 more
wiley   +1 more source

A Lightweight Rice Pest Detection Algorithm Using Improved Attention Mechanism and YOLOv8

open access: yesAgriculture
Intelligent pest detection algorithms are capable of effectively detecting and recognizing agricultural pests, providing important recommendations for field pest control.
Jianjun Yin   +3 more
semanticscholar   +1 more source

Hijacking the Host Clock: A Nematode Effector Antagonizes Soybean Circadian Defense and Translation Control

open access: yesAdvanced Science, EarlyView.
Soybean employs its circadian clock, governed by GmCCA1, to rhythmically defend against soybean cyst nematodes. The pathogen retaliates by secreting the effector Hg4E02, which hijacks the clock to suppress defense and co‐opt the host's translation machinery for nutrient acquisition.
Xingwei Wang   +21 more
wiley   +1 more source

Controlling sap-sucking insect pests with recombinant endophytes expressing plant lectin [PDF]

open access: yes, 2010
We developed a novel pest management strategy, which uses endophytes to express anti-pest plant lectins. Fungal endophyte of Chaetomium globosum YY-11 with anti-fungi activities was isolated from rape seedlings, and bacterial endophytes of SJ-10 ...
Gaofu Qi   +4 more
core   +1 more source

Predicting Rice Pest Population Occurrence with Satellite-Derived Crop Phenology, Ground Meteorological Observation, and Machine Learning: A Case Study for the Central Plain of Thailand

open access: yesApplied Sciences, 2019
The brown planthopper Nilaparvata lugens (BPH) is one of the most harmful insect pests in rice paddy fields, which causes considerable yield loss and consequent economic problems, particularly in the central plain of Thailand.
Sukij Skawsang   +3 more
semanticscholar   +1 more source

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