Technological revolutions in smart farming: Current trends, challenges & future directions
With increasing population, the demand for agricultural productivity is rising to meet the goal
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
of “Zero Hunger”. Consequently, farmers have optimized the agricultural activities in a …
From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges
The three previous industrial revolutions profoundly transformed agriculture industry from
indigenous farming to mechanized farming and recent precision agriculture. Industrial …
indigenous farming to mechanized farming and recent precision agriculture. Industrial …
Innovation can accelerate the transition towards a sustainable food system
Future technologies and systemic innovation are critical for the profound transformation the
food system needs. These innovations range from food production, land use and emissions …
food system needs. These innovations range from food production, land use and emissions …
Artificial intelligence in plant breeding
Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …
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 …
Translating high-throughput phenoty** into genetic gain
Inability to efficiently implement high-throughput field phenoty** is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenoty** must …
as a key component that limits genetic gain in breeding programs. Field phenoty** must …
Designing future crops: challenges and strategies for sustainable agriculture
Z Tian, JW Wang, J Li, B Han - The Plant Journal, 2021 - Wiley Online Library
Crop production is facing unprecedented challenges. Despite the fact that the food supply
has significantly increased over the past half‐century,~ 8.9 and 14.3% people are still …
has significantly increased over the past half‐century,~ 8.9 and 14.3% people are still …
Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean
Recent substantial advances in high-throughput field phenoty** have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
Crop phenomics: current status and perspectives
C Zhao, Y Zhang, J Du, X Guo, W Wen, S Gu… - Frontiers in Plant …, 2019 - frontiersin.org
Reliable, automatic, multifunctional, and high-throughput phenotypic technologies are
increasingly considered important tools for rapid advancement of genetic gain in breeding …
increasingly considered important tools for rapid advancement of genetic gain in breeding …
[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenoty**: a review
Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …
breeding programs, understanding plant-environment interactions, and managing …