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] Machine learning in agriculture domain: A state-of-art survey

V Meshram, K Patil, V Meshram, D Hanchate… - Artificial Intelligence in …, 2021 - Elsevier
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …

[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenoty**: a review

Y Jiang, C Li - Plant Phenomics, 2020 - spj.science.org
Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

A review of deep learning applications for genomic selection

OA Montesinos-López, A Montesinos-López… - BMC genomics, 2021 - Springer
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …

A survey on deep learning and its impact on agriculture: challenges and opportunities

M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …

[HTML][HTML] Machine learning for plant breeding and biotechnology

M Niazian, G Niedbała - Agriculture, 2020 - mdpi.com
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images

M Kerkech, A Hafiane, R Canals - Computers and electronics in agriculture, 2018 - Elsevier
Detection of symptoms in grape leaves is a very important factor in preventing a serious
disease. An epidemic spread in vineyards has huge economic consequences and therefore …

Deep learning: As the new frontier in high-throughput plant phenoty**

S Arya, KS Sandhu, J Singh, S Kumar - Euphytica, 2022 - Springer
With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …

Revolutionizing agricultureA comprehensive review of artificial intelligence techniques in farming

GS Kashyap, P Kamani, M Kanojia… - Research Advances …, 2024 - taylorfrancis.com
Artificial intelligence (AI) is a relatively new branch of information technology. It is one of the
pillars of many industrial innovations, as well as a critical component in supporting and …

Smart farming becomes even smarter with deep learning—a bibliographical analysis

Z Ünal - IEEE access, 2020 - ieeexplore.ieee.org
Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …