Smart farming: Internet of Things (IoT)-based sustainable agriculture
Smart farming is a development that has emphasized information and communication
technology used in machinery, equipment, and sensors in network-based hi-tech farm …
technology used in machinery, equipment, and sensors in network-based hi-tech farm …
A systematic review on automatic insect detection using deep learning
Globally, insect pests are the primary reason for reduced crop yield and quality. Although
pesticides are commonly used to control and eliminate these pests, they can have adverse …
pesticides are commonly used to control and eliminate these pests, they can have adverse …
Intelligent detection of citrus fruit pests using machine vision system and convolutional neural network through transfer learning technique
R Hadipour-Rokni, EA Asli-Ardeh… - Computers in Biology …, 2023 - Elsevier
Plant pests and diseases play a significant role in reducing the quality of agricultural
products. As one of the most important plant pathogens, pests like Mediterranean fruit fly …
products. As one of the most important plant pathogens, pests like Mediterranean fruit fly …
A review of the challenges of using deep learning algorithms to support decision-making in agricultural activities
Deep Learning has been successfully applied to image recognition, speech recognition, and
natural language processing in recent years. Therefore, there has been an incentive to …
natural language processing in recent years. Therefore, there has been an incentive to …
Recommending advanced deep learning models for efficient insect pest detection
W Li, T Zhu, X Li, J Dong, J Liu - Agriculture, 2022 - mdpi.com
Insect pest management is one of the main ways to improve the crop yield and quality in
agriculture and it can accurately and timely detect insect pests, which is of great significance …
agriculture and it can accurately and timely detect insect pests, which is of great significance …
A comprehensive survey on IoT and AI based applications in different pre-harvest, during-harvest and post-harvest activities of smart agriculture
Today farmers around the world are gradually embracing Smart farming assisted by different
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …
[HTML][HTML] Fruit fly automatic detection and monitoring techniques: A review
Fruit flies affect the production and market of fresh fruits and vegetables worldwide. To
minimize their effects, integrated pest management (IPM) strategies are needed. However …
minimize their effects, integrated pest management (IPM) strategies are needed. However …
Development of an automatic pest monitoring system using a deep learning model of DPeNet
Pest monitoring is the prerequisite for precise decision-making supporting integrated pest
management (IPM) in smart agriculture. In order to satisfy the timeliness and accuracy in …
management (IPM) in smart agriculture. In order to satisfy the timeliness and accuracy in …
Recognizing sounds of Red Palm Weevils (RPW) based on the VGGish model: Transfer learning methodology
The red palm weevil (RPW) is one of the most popular and damaging pests which threaten
palm cultivation and production in many countries in the world. Recognizing RPW pests is …
palm cultivation and production in many countries in the world. Recognizing RPW pests is …
Modified Metaheuristics with Transfer Learning Based Insect Pest Classification for Agricultural Crops.
Crop insect detection becomes a tedious process for agronomists because a substantial part
of the crops is damaged, and due to the pest attacks, the quality is degraded. They are the …
of the crops is damaged, and due to the pest attacks, the quality is degraded. They are the …