[HTML][HTML] The path to smart farming: Innovations and opportunities in precision agriculture

E Karunathilake, AT Le, S Heo, YS Chung, S Mansoor - Agriculture, 2023 - mdpi.com
Precision agriculture employs cutting-edge technologies to increase agricultural productivity
while reducing adverse impacts on the environment. Precision agriculture is a farming …

[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

J Jung, M Maeda, A Chang, M Bhandari… - Current Opinion in …, 2021 - Elsevier
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …

Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

[HTML][HTML] Crop phenomics and high-throughput phenotyping: past decades, current challenges, and future perspectives

W Yang, H Feng, X Zhang, J Zhang, JH Doonan… - Molecular plant, 2020 - cell.com
Since whole-genome sequencing of many crops has been achieved, crop functional
genomics studies have stepped into the big-data and high-throughput era. However …

[HTML][HTML] Impact of climate change on crops adaptation and strategies to tackle its outcome: A review

A Raza, A Razzaq, SS Mehmood, X Zou, X Zhang, Y Lv… - Plants, 2019 - mdpi.com
Agriculture and climate change are internally correlated with each other in various aspects,
as climate change is the main cause of biotic and abiotic stresses, which have adverse …

A review of deep learning techniques used in agriculture

I Attri, LK Awasthi, TP Sharma, P Rathee - Ecological Informatics, 2023 - Elsevier
Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …

[HTML][HTML] A wheat spike detection method in UAV images based on improved YOLOv5

J Zhao, X Zhang, J Yan, X Qiu, X Yao, Y Tian, Y Zhu… - Remote Sensing, 2021 - mdpi.com
Deep-learning-based object detection algorithms have significantly improved the
performance of wheat spike detection. However, UAV images crowned with small-sized …

[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

[HTML][HTML] Drought stress tolerance in wheat and barley: advances in physiology, breeding and genetics research

A Sallam, AM Alqudah, MFA Dawood… - International journal of …, 2019 - mdpi.com
Climate change is a major threat to most of the agricultural crops grown in tropical and sub-
tropical areas globally. Drought stress is one of the consequences of climate change that …

[HTML][HTML] Conventional and molecular techniques from simple breeding to speed breeding in crop plants: recent advances and future outlook

S Ahmar, RA Gill, KH Jung, A Faheem… - International journal of …, 2020 - mdpi.com
In most crop breeding programs, the rate of yield increment is insufficient to cope with the
increased food demand caused by a rapidly expanding global population. In plant breeding …