Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

[HTML][HTML] Advances in agriculture robotics: A state-of-the-art review and challenges ahead

LFP Oliveira, AP Moreira, MF Silva - Robotics, 2021 - mdpi.com
The constant advances in agricultural robotics aim to overcome the challenges imposed by
population growth, accelerated urbanization, high competitiveness of high-quality products …

A review of computer vision technologies for plant phenotyping

Z Li, R Guo, M Li, Y Chen, G Li - Computers and Electronics in Agriculture, 2020 - Elsevier
Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …

[HTML][HTML] Agricultural robotics for field operations

S Fountas, N Mylonas, I Malounas, E Rodias… - Sensors, 2020 - mdpi.com
Modern agriculture is related to a revolution that occurred in a large group of technologies
(eg, informatics, sensors, navigation) within the last decades. In crop production systems …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

[HTML][HTML] High-throughput phenotyping: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

[HTML][HTML] A review of robots, perception, and tasks in precision agriculture

A Botta, P Cavallone, L Baglieri, G Colucci… - applied …, 2022 - mdpi.com
This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …

High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field

N Shakoor, S Lee, TC Mockler - Current opinion in plant biology, 2017 - Elsevier
Highlights•Phenotyping technology can increase the throughput of plant screening in the
field.•Early season detection of plant diseases is key to reducing crop yield losses.•Disease …

[HTML][HTML] Artificial cognition for applications in smart agriculture: A comprehensive review

M Pathan, N Patel, H Yagnik, M Shah - Artificial Intelligence in Agriculture, 2020 - Elsevier
Abstract Agriculture contributes to 6.4% of the entire world's economic production. In at least
nine countries of the world, agriculture is the dominant sector of the economy. Agriculture not …

[HTML][HTML] Robotic technologies for high-throughput plant phenotyping: Contemporary reviews and future perspectives

A Atefi, Y Ge, S Pitla, J Schnable - Frontiers in plant science, 2021 - frontiersin.org
Phenotyping plants is an essential component of any effort to develop new crop varieties. As
plant breeders seek to increase crop productivity and produce more food for the future, the …