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Internet and Computers for Agriculture

Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, r...

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Bibliographic Details
Main Author: Dimitrov, Dimitre
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
E-commerce Interest Linkage
Buffalo Breeds
Sustainable Food Systems
Convolutional Neural Network (cnn)
Multi-agent
User Interface (ui)
Deep Feature Fusion
Iot
Food Processing
Deep Learning
Smart Farming
Residual Block
Nsga-ii Algorithm
Aquatic Products Price Forecast
Climate Extreme
Water Security
Farm Management Information System
Soft System Methodology
Decision Support Systems
Data-driven Modeling
Farmers' Information Needs Assessment
Structural Equation Model
Semi-literate Farmers
Decision Support
Smart Machinery
Wsn
Traveler Group
Attention Mechanism
Research & Information: General / Bicssc
Sensor Network
Biology, Life Sciences / Bicssc
Self Activated Cnn
Logistics
Indonesian Chili Farmers
Grape Leaf Disease
Participation Willingness And Behaviors
Hemp Duck Count
Yolov7
Supply Chain
Farmers' Cognition
Planning Framework
Grape Varieties Identification
Picking Point Identification
Horticulture
Input Uncertainty
Interactive Interface
Machine Vision
Hybrid Model
Semantic Enhancement
Covid-19 Pandemic
Conceptual Model
Precision Agriculture
Government Policies
Fuzzy Collaborative Intelligence
Lorawan
Ibes
N/a
Evolutionary Game Model
Containerization
Web Application
Transformation
Process-based Modeling
Fresh Agricultural Products
Lstm
Split Delivery
Transition Pathways
Object Detection
Operations
Adversarial Training
Maize Seeds
Support Vector Machine (svm)
Early Prediction Of Crop Yield
Smallholder Farmers
Android Apps
Vmd
Self-attention
Vehicle Routing Problem
Conceptual Resilience Model
Neural Networks
Regression Algorithms
Agricultural Water Management
Grape Detection
Classification
Deeplabv3+
Semantic Segmentation
Leisure Agricultural Park
Water Status
Convolutional Neural Network
Named Entity Recognition
Chinese Agricultural Diseases And Pests
Canonical Correlation Analysis (cca)
Smart Agriculture
Technology, Engineering, Agriculture / Bicssc
Neural Network
Digital Agriculture
Technology Innovation
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling. This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (436 p.)
ISBN:9783036566306
9783036566313
books978-3-0365-6631-3

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