[HTML][HTML] Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

[HTML][HTML] Applications of remote sensing in precision agriculture: A review

RP Sishodia, RL Ray, SK Singh - Remote sensing, 2020 - mdpi.com
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …

IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

[HTML][HTML] Digital transformation and environmental sustainability: A review and research agenda

AK Feroz, H Zo, A Chiravuri - Sustainability, 2021 - mdpi.com
Digital transformation refers to the unprecedented disruptions in society, industry, and
organizations stimulated by advances in digital technologies such as artificial intelligence …

A survey of deep learning techniques for weed detection from images

ASMM Hasan, F Sohel, D Diepeveen, H Laga… - … and Electronics in …, 2021 - Elsevier
The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …

[HTML][HTML] Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides

T Talaviya, D Shah, N Patel, H Yagnik… - Artificial Intelligence in …, 2020 - Elsevier
Agriculture plays a significant role in the economic sector. The automation in agriculture is
the main concern and the emerging subject across the world. The population is increasing …

Automation in agriculture by machine and deep learning techniques: A review of recent developments

MH Saleem, J Potgieter, KM Arif - Precision Agriculture, 2021 - Springer
Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings

Q Wang, M Cheng, S Huang, Z Cai, J Zhang… - … and Electronics in …, 2022 - Elsevier
Solanum rostratum Dunal is a common invasive alien weed that can damage native
ecosystems and biodiversity. Detecting Solanum rostratum Dunal at an early stage of growth …

[HTML][HTML] Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities

SO Araújo, RS Peres, J Barata, F Lidon, JC Ramalho - Agronomy, 2021 - mdpi.com
Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

[HTML][HTML] Sustainable approach to weed management: The role of precision weed management

A Monteiro, S Santos - Agronomy, 2022 - mdpi.com
In the last few decades, the increase in the world's population has created a need to
produce more food, generating, consequently, greater pressure on agricultural production …