Application of Robotics, Artificial Intelligence and Deep Learning in Modern Agriculture Technology: A Review
Harshad A. Prajapati, D. M. Kadam, Shivkanya S. Aitwar, Prathamesh Dilip Jagtap, Debesh Singh, Nirjharnee Nandeha, Deepanshu Mukherjee
International Journal of Plant & Soil Science · pp. 106–116 · Published 16 Dec 2023
10.9734/ijpss/2023/v35i234222Abstract
In order to determine their potential impact in the field of agriculture, the proposed work aims to review the various artificial intelligence (AI) techniques, with a focus on expert systems, robots designed specifically for agriculture, and sensors technology for data collection and transmission. These techniques include fuzzy logic (FL), artificial neural network (ANN), genetic algorithm (GA), particle swarm optimisation (PSO), artificial potential field (APF), simulated annealing (SA), deep learning. The application of AI techniques and robots in cultivation, monitoring, and harvesting is not highlighted in any literature, making it difficult to compare each one simultaneously based on popularity and usefulness while also understanding how each contributes to the agricultural industry. With knowledge of the extent of AI engaged and the robots used, this paper compares three crucial agricultural phases: cultivation, monitoring, and harvesting. The current study offers a comprehensive analysis of over 200 publications that cover the use of automation in agriculture as of 1960 and 2021. It draws attention to the unmet research needs for developing intelligent, self-governing agricultural systems. The frequency of various AI, robotics and deep learning techniques for particular applications in the agriculture industry round out the article.
References (30)
- 1 Long short-term memory recurrent neural network architectures for large scale acoustic modeling [DOI]
- 2 Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification [DOI]
- 3 A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning [DOI]
- 4 Machine Learning Applications for Precision Agriculture: A Comprehensive Review [DOI]
- 5 Deep learning based multi-temporal crop classification [DOI]
- 6 Plant Disease Detection and Classification by Deep Learning [DOI]
- 7 A Deep Learning-based Approach for Banana Leaf Diseases Classification
- 8 Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques [DOI]
- 9 A novel approach for efficient crop yield prediction [DOI]
- 10 Shrink and share: humanity's present and future Ecological Footprint [DOI]
- 11 A Mobile-Based System for Detecting Plant Leaf Diseases Using Deep Learning [DOI]
- 12 Deep learning for smart agriculture: Concepts, tools, applications, and opportunities [DOI]
- 13 Convolution neural network in precision agriculture for plant image recognition and classification [DOI]
- 14 Comparative Study Of Deep Learning Algorithms For Disease And Pest Detection In Rice Crops [DOI]
- 15 dCrop: A Deep-Learning Based Framework for Accurate Prediction of Diseases of Crops in Smart Agriculture [DOI]
- 16 Novel fusion of color balancing and superpixel based approach for detection of tomato plant diseases in natural complex environment [DOI]
- 17 A Review on Convolutional Neural Networks [DOI]
- 18 Automation and integration of growth monitoring in plants (with disease prediction) and crop prediction [DOI]
- 19 Decadal analysis of water level fluctuation using GIS in Jabalpur district of Madhya Pradesh [DOI]
- 20 Key Technologies and Applications In Intelligent Agriculture [DOI]
- 21 Runoff Estimation by Integration of GIS and SCS-CN Method for Kanari River Watershed [DOI]
- 22 Optimum Allocation of Water and Land Resource for Maximizing Farm Income of Jabalpur District, Madhya Pradesh [DOI]
- 23 Development of RRL AWBM model and investigation of its performance, efficiency and suitability in Shipra River Basin [DOI]
- 24 Identification of Water-Stressed Area in Maize Crop Using Uav Based Remote Sensing [DOI]
- 25 Retracted: Modern Irrigation System using Convolutional Neural Network [DOI]
- 26 Plant Seedlings Classification using Transfer Learning [DOI]
- 27 Impact of Climate Change Using Trend Analysis of Rainfall, RRL AWBM Toolkit, Synthetic and Arbitrary Scenarios [DOI]
- 28 Effect of raised bed, zero and conventional till system on performance of soybean crop in vertisol [DOI]
- 29 Recurrent Neural Network Regularization [DOI]
- 30 International Journal of Environment and Climate Change [DOI]
Cited by 10
Kusum Yadav · Intelligent Systems Reference Library · 2025
Afsaneh Soleimani, Mohammad Hossein Abbaspour-Fard, Ranjan Sapkota · Applied Soft Computing · 2026
Alfonso Ramírez-Pedraza, Juan Terven, José-Joel González-Barbosa · Agriculture · 2025
Harshit Mishra, Fredrick Kayusi · Journal of Scientific Agriculture · 2025
Rita Dublino, Maria Ercolano · The Crop Journal · 2025
Showing 5 of 10 known citations — external sources report more than can currently be individually listed.
Related research
- Prediction of Radiotherapy Dose Distribution for Glioblastoma Using Convolutional Neural Network Model — shares topic coverage
- A Review of Artificial Neural Networks for Chemical Process Optimization and Compound Property Prediction — shares topic coverage
- Monkeypox Detection Using Transfer Learning, ResNet50, Alex Net, ResNet18 & Custom CNN Model — shares topic coverage
- Leveraging Deep Learning Algorithms for Predicting Power Outages and Detecting Faults: A Review — shares topic coverage
- Deepfake Detection Using Deep Learning: A Review — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
10
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.