[HTML][HTML] The path to smart farming: Innovations and opportunities in precision agriculture
Precision agriculture employs cutting-edge technologies to increase agricultural productivity
while reducing adverse impacts on the environment. Precision agriculture is a farming …
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
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …
climate change, land and water availability, and, more recently, a pandemic. These factors …
Remote sensing for agricultural applications: A meta-review
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 …
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
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 …
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
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 …
as climate change is the main cause of biotic and abiotic stresses, which have adverse …
A review of deep learning techniques used in agriculture
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 …
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
Deep-learning-based object detection algorithms have significantly improved the
performance of wheat spike detection. However, UAV images crowned with small-sized …
performance of wheat spike detection. However, UAV images crowned with small-sized …
[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
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 …
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
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 …
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
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 …
increased food demand caused by a rapidly expanding global population. In plant breeding …