AIMC Topic: Agriculture

Clear Filters Showing 181 to 190 of 349 articles

Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review.

Sensors (Basel, Switzerland) Apr 5, 2023
As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The conv...
Artificial Intelligence Image Processing, Computer-Assisted Agriculture Databases, Factual Technology
View on PubMed DOI

Weed Detection Using Deep Learning: A Systematic Literature Review.

Sensors (Basel, Switzerland) Mar 31, 2023
Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this...
Crops, Agricultural Weed Control Agriculture Plant Weeds Deep Learning Artificial Intelligence
View on PubMed DOI

Research on the evaluation method of agricultural intelligent robot design solutions.

PloS one Mar 23, 2023
BACKGROUND: At present, agricultural robots are produced in large quantities and used in agricultural planting, and the traditional agricultural model is gradually shifting to rely on the Internet of Things and sensors to accurately detect crop growt...
Agriculture Farms Humans Entropy Nigeria Robotics
View on PubMed DOI

Yolo-Pest: An Insect Pest Object Detection Algorithm via CAC3 Module.

Sensors (Basel, Switzerland) Mar 17, 2023
Insect pests have always been one of the main hazards affecting crop yield and quality in traditional agriculture. An accurate and timely pest detection algorithm is essential for effective pest control; however, the existing approach suffers from a ...
Insecta Electric Power Supplies Animals Agriculture Neural Networks, Computer Algorithms
View on PubMed DOI

Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm ().

Sensors (Basel, Switzerland) Mar 15, 2023
Accurately detecting early developmental stages of insect pests (larvae) from off-the-shelf stereo camera sensor data using deep learning holds several benefits for farmers, from simple robot configuration to early neutralization of this less agile b...
Deep Learning Larva Neural Networks, Computer Animals Spodoptera Agriculture Robotics Insecta
View on PubMed DOI

IoT and Deep Learning-Based Farmer Safety System.

Sensors (Basel, Switzerland) Mar 8, 2023
Farming is a fundamental factor driving economic development in most regions of the world. As in agricultural activity, labor has always been hazardous and can result in injury or even death. This perception encourages farmers to use proper tools, re...
Farmers Humans Agriculture Farms Internet of Things Deep Learning
View on PubMed DOI

A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach.

Environmental pollution (Barking, Essex : 1987) Feb 28, 2023
Biowaste remediation and valorization for environmental sustainability focuses on prevention rather than cleanup of waste generation by applying the fundamental recovery concept through biowaste-to-bioenergy conversion systems - an appropriate approa...
Artificial Intelligence Biomass Agriculture Bayes Theorem Neural Networks, Computer
View on PubMed DOI

Three-dimensional continuous picking path planning based on ant colony optimization algorithm.

PloS one Feb 27, 2023
Fruit-picking robots are one of the important means to promote agricultural modernization and improve agricultural efficiency. With the development of artificial intelligence technology, people are demanding higher picking efficiency from fruit-picki...
Agriculture Fruit Pheromones Humans Artificial Intelligence Algorithms
View on PubMed DOI

Robust Multi-Sensor Consensus Plant Disease Detection Using the Choquet Integral.

Sensors (Basel, Switzerland) Feb 21, 2023
Over the last few years, several studies have appeared that employ Artificial Intelligence (AI) techniques to improve sustainable development in the agricultural sector. Specifically, these intelligent techniques provide mechanisms and procedures to ...
Plant Diseases Consensus Intelligence Artificial Intelligence Agriculture
View on PubMed DOI

Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery.

Sensors (Basel, Switzerland) Feb 5, 2023
Climate change and the COVID-19 pandemic have disrupted the food supply chain across the globe and adversely affected food security. Early estimation of staple crops can assist relevant government agencies to take timely actions for ensuring food sec...
Deep Learning Agriculture Crops, Agricultural Humans COVID-19 Pandemics Farms
View on PubMed DOI
Popular Topics
Recent Journals