Artificial intelligence technology in the agricultural sector: A systematic literature review

E Elbasi, N Mostafa, Z AlArnaout, AI Zreikat… - IEEE …, 2022 - ieeexplore.ieee.org
Due to the increasing global population and the growing demand for food worldwide as well
as changes in weather conditions and the availability of water, artificial intelligence (AI) such …

[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

A systematic review of current trends in artificial intelligence for smart farming to enhance crop yield

MH Widianto, MI Ardimansyah, HI Pohan… - Journal of Robotics …, 2022 - journal.umy.ac.id
Current technology has been widely applied for development, one of which has an Artificial
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …

Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions

Y Jararweh, S Fatima, M Jarrah, S AlZu'bi - Computers and Electrical …, 2023 - Elsevier
Agriculture is an important sector that plays a key role in the economic growth of countries.
Innovative agricultural advancements has undoubtedly supported the expansion of the …

An industrial-grade solution for crop disease image detection tasks

G Dai, J Fan - Frontiers in Plant Science, 2022 - frontiersin.org
Crop leaf diseases can reflect the current health status of the crop, and the rapid and
automatic detection of field diseases has become one of the difficulties in the process of …

DA‐ActNN‐YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification

G Dai, L Hu, J Fan - Computational Intelligence and …, 2022 - Wiley Online Library
To solve the problems of weak generalization of potato early and late blight recognition
models in real complex scenarios, susceptibility to interference from crop varieties, colour …

[图书][B] Emerging technologies: value creation for sustainable development

S Küfeoğlu - 2022 - library.oapen.org
This monograph investigates a multitude of emerging technologies including 3D printing,
5G, blockchain, and many more to assess their potential for use to further humanity's shared …

[PDF][PDF] Implementation of Artificial Intelligence, Machine Learning, and Internet of Things (IoT) in revolutionizing Agriculture: A review on recent trends and challenges

N Dawn, T Ghosh, S Ghosh, A Saha… - Int. J. Exp. Res …, 2023 - researchgate.net
Artificial Intelligence (AI) can revolutionize agriculture which impacts a country's economy,
employing more than 30% of the world's population directly or indirectly. It can fulfill the …

Using time-series generative adversarial networks to synthesize sensing data for pest incidence forecasting on sustainable agriculture

CY Tai, WJ Wang, YM Huang - Sustainability, 2023 - mdpi.com
A sufficient amount of data is crucial for high-performance and accurate trend prediction.
However, it is difficult and time-consuming to collect agricultural data over long periods of …

[HTML][HTML] Adaption of smart applications in agriculture to enhance production

S Mandal, A Yadav, FA Panme, KM Devi… - Smart agricultural …, 2024 - Elsevier
Food security has grown into a serious concern in all countries around the globe due to the
growing population, the depletion of renewable resources, the loss of agricultural farmlands …