scholarly journals Correction to: Soil Nutrient Detection Based on Photonic Crystal Hexagonal Resonator for Smart Farming

Author(s):  
Elizabeth Caroline Britto ◽  
Sathish Kumar Danasegaran ◽  
Susan Christina Xavier ◽  
Jeyarani Jeyaseelan
2021 ◽  
Vol 51 (3) ◽  
pp. 507-514
Author(s):  
Elizabeth Caroline Britto ◽  
Sathish Kumar Danasegaran ◽  
Susan Christina Xavier ◽  
Jeyarani Jeyaseelan

Author(s):  
Dr. Sumanta Bhattacharya

Abstract: Smart farming has started taking a dynamic shape in the society , where the farmers are adopting smart farming with increase in the use of technologies like artificial intelligence , remote sensing for cultivation of crops with proper knowledge and information gained through digital market , satellite , farm mapping and climate condition to understand and make correct use of resources , controlling soil ,nutrient , saving water and use of less fertilizers in growing crops . Greenhouse , vertical farming , horticulture have entered the urban sector at a rapid pace to meet the demand of the growing society , smart agriculture has helped us to limit our dependence on water , soil and other chemical fertilizer . Today we produce more fresh , healthy and organic food . We have been successful in countering the climate influence over the food sector and reducing the greenhouse emission caused by agricultural sector or make it to zero emission , with promotion of vertical and indoor farming in the urban , semi urban and rural region, the government have encourage farmers to adopt smart farming what we require is to provide training and knowledge on technology use along with many resources available at a reasonable price for the farmers . Keywords: Smart Farming, farmers, vertical farming, artificial intelligence, remote sensing, technologies, climate, resources


2021 ◽  
Author(s):  
Gagandeep Singh Kukreja ◽  
V. Bagyaveereswaran ◽  
Siddhartha Menon ◽  
Gargi Agrawal

2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).


2018 ◽  
Vol 8 (3) ◽  
pp. 172-188
Author(s):  
M. Abdulmahdi ◽  
S. Sarsooh ◽  
M. Oleiwi
Keyword(s):  

2014 ◽  
Vol 1 ◽  
pp. 356-359
Author(s):  
Yoshinori Tanaka ◽  
Takashi Asano ◽  
Susumu Noda

2009 ◽  
Vol 129 (4) ◽  
pp. 601-607
Author(s):  
Shubi F. Kaijage ◽  
Yoshinori Namihira ◽  
Nguyen H. Hai ◽  
Feroza Begum ◽  
S. M. Abdur Razzak ◽  
...  

2012 ◽  
Vol E95.C (7) ◽  
pp. 1244-1251 ◽  
Author(s):  
Koji TAKEDA ◽  
Tomonari SATO ◽  
Takaaki KAKITSUKA ◽  
Akihiko SHINYA ◽  
Kengo NOZAKI ◽  
...  

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