Application of Artificial Intelligence (AI) in Plant Sciences Research

2021 ◽  
Vol 1 (01) ◽  
pp. 1-2
Author(s):  
CHANDRIKA NANAYAKKARA

The current world needs to use modern technologies in plant science research due to increasing food requirements, and to cope up with global climate changes (1). Consequently, Artificial Intelligence (AI) based technologies are considered as the most recent and advanced research tools in every sector of science. Biological researches are also making progress surprisingly due to the assistance of AI affiliated tools directly or indirectly. Nowadays, plant physiology to genomic manipulation has witnessed, how it is easier and accurate than previous (2). Moreover, continuous monitoring of plants' growth, growing media, and relevant surroundings were time and labor-consuming in the past; even, the obtained results were erroneous somewhat. Data processing and analysis were based on individual performances of the participated researchers; surprisingly, the scenarios have been changed after the emergence of AI (3).

2020 ◽  
Author(s):  
Sarah S. Eggleston ◽  
Oliver Bothe ◽  
Nerilie Abram ◽  
Bronwen Konecky ◽  
Hans Linderholm ◽  
...  

<p>The past two thousand years is a key interval for climate science because this period encompasses both the era of human-induced global warming and a much longer interval when changes in Earth's climate were governed principally by natural drivers. This earlier 'pre-industrial' period is particularly important for two reasons. Firstly, we now have a growing number of well-dated, climate sensitive proxy data with high temporal resolution that spans the full period. Secondly, the pre-industrial climate provides context for present-day climate change, sets real-world targets against which to evaluate the performance of climate models, and allows us to address other questions of Earth sciences that cannot be answered using only a century and a half of observational data. </p><p>Here, we first provide several perspectives on the concept of a 'pre-industrial climate'. Then, we highlight the activities of the PAGES 2k Network, an international collaborative effort focused on global climate change during the past two thousand years. We highlight those aspects of pre-industrial conditions (including both past climate changes and past climate drivers) that are not yet well constrained, and suggest potential areas for research during this period that would be relevant to the evolution of Earth's future climate.</p>


Author(s):  
Pontus Lurcock ◽  
Fabio Florindo

Antarctic climate changes have been reconstructed from ice and sediment cores and numerical models (which also predict future changes). Major ice sheets first appeared 34 million years ago (Ma) and fluctuated throughout the Oligocene, with an overall cooling trend. Ice volume more than doubled at the Oligocene-Miocene boundary. Fluctuating Miocene temperatures peaked at 17–14 Ma, followed by dramatic cooling. Cooling continued through the Pliocene and Pleistocene, with another major glacial expansion at 3–2 Ma. Several interacting drivers control Antarctic climate. On timescales of 10,000–100,000 years, insolation varies with orbital cycles, causing periodic climate variations. Opening of Southern Ocean gateways produced a circumpolar current that thermally isolated Antarctica. Declining atmospheric CO2 triggered Cenozoic glaciation. Antarctic glaciations affect global climate by lowering sea level, intensifying atmospheric circulation, and increasing planetary albedo. Ice sheets interact with ocean water, forming water masses that play a key role in global ocean circulation.


2006 ◽  
Vol 411 (2) ◽  
pp. 1485-1488 ◽  
Author(s):  
I. I. Mokhov ◽  
A. V. Chernokulsky ◽  
I. M. Shkolnik

Author(s):  
А.А. Лагутин ◽  
Н.В. Волков ◽  
Е.Ю. Мордвин

Представлены результаты исследований влияния глобальных климатических изменений системы Земля на климат Западной Сибири. Для установления зон региона, в которых к середине XXI в. прогнозируются изменения, использовались модельные данные региональной климатической модели RegCM4 и принятые в этом классе задач стандартизованные евклидовы расстояния между характеристиками климата для двух состояний климатической системы — современного и будущего. Установлены зоны Западной Сибири, в которых в рамках сценариев RCP 4.5 и RCP 8.5 возможной эволюции глобальной системы к 2050 г. прогнозируются изменения климата. Purpose. An analysis of the influence of a global climate changes on the climate of Western Siberia, determination of zones of the region where changes are expected in the middle of the twenty-first century. Methodology. Results obtained using the model data of the regional climate model RegCM4 and the standardized Euclidean distances between climate characteristics. Findings, originality. Simulations of the climate characteristics for the two states of the climate system — contemporary and future — have been carried out. The zones of Western Siberia region, in which climate change is expected in the framework of RCP 4.5 and RCP 8.5 radiative forcing scenarios by the 2050, have been determined.


2012 ◽  
Vol 61-64 ◽  
pp. 73-84 ◽  
Author(s):  
Sergey A. Gorbarenko ◽  
Naomi Harada ◽  
Mikhail I. Malakhov ◽  
Tatyana A. Velivetskaya ◽  
Yuriy P. Vasilenko ◽  
...  

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