[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

Incorporating artificial intelligence technology in smart greenhouses: Current State of the Art

C Maraveas - Applied Sciences, 2022 - mdpi.com
This article presents the current state-of-the-art research on applying artificial intelligence
(AI) technology in smart greenhouses to optimize crop yields, water, and fertilizer use …

[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 …

Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis

PR Bhagat, F Naz, R Magda - PloS one, 2022 - journals.plos.org
There is a dearth of literature that provides a bibliometric analysis concerning the role of
Artificial Intelligence (AI) in sustainable agriculture therefore this study attempts to fill this …

Artificial intelligence in biological sciences

A Bhardwaj, S Kishore, DK Pandey - Life, 2022 - mdpi.com
Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the
quality of life of human beings. The fields of AI and biological research are becoming more …

Using artificial intelligence for space challenges: A survey

A Russo, G Lax - Applied Sciences, 2022 - mdpi.com
Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …

[HTML][HTML] Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics

DT Fasiolo, L Scalera, E Maset, A Gasparetto - Robotics and Autonomous …, 2023 - Elsevier
This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …

Vineyard yield estimation, prediction, and forecasting: A systematic literature review

A Barriguinha, M de Castro Neto, A Gil - Agronomy, 2021 - mdpi.com
Purpose—knowing in advance vineyard yield is a critical success factor so growers and
winemakers can achieve the best balance between vegetative and reproductive growth. It is …

[HTML][HTML] Sensor system for precision agriculture smart watering can

A Rabak, K Uppuluri, FF Franco, N Kumar… - Results in …, 2023 - Elsevier
The expansion of precision agriculture technology from commercial agriculture to home
gardening is highly important due to its economic and health benefits, delivered through a …

PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain

J Weyler, F Magistri, E Marks, YL Chong… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope
with many challenges in the upcoming decades, eg, a higher demand, climate change, lack …