scholarly journals Correction to: Allometric approach to crop nutrition and implications for crop diagnosis and phenotyping. A review

2019 ◽  
Vol 39 (3) ◽  
Author(s):  
Gilles Lemaire ◽  
Thomas Sinclair ◽  
Victor Sadras ◽  
Gilles Bélanger
Author(s):  
Gilles Lemaire ◽  
Thomas Sinclair ◽  
Victor Sadras ◽  
Gilles Bélanger

Author(s):  
Gelton Geraldo Fernandes Guimarães ◽  
Rafael Ricardo Cantú ◽  
Ramon Felipe Scherer ◽  
André Boldrin Beltrame ◽  
Marcelo Mendes de Haro

Author(s):  
Lynette Morgan

Abstract This chapter focuses on plant factories, which is an indoor, enclosed, crop cultivation system where the growing environment is precisely controlled to maximize production. Topics covered are the history and background of plant factories,advantages of plant factories, criticisms of plant factories, costs and returns of plant factories, domestic and other small-scale plant factories, crops produced including pharmaceuticals, vertical or multilevel systems, including moveable systems, crop nutrition in plant factories, plant factory environments, lighting, environmental control and plant quality in plant factories, and automation and robotization.


2019 ◽  
Vol 14 (6) ◽  
pp. 532-540 ◽  
Author(s):  
Melanie Kah ◽  
Nathalie Tufenkji ◽  
Jason C. White
Keyword(s):  

2019 ◽  
Author(s):  
Haotun LYU ◽  
Xiaolong LI ◽  
Zi ZHENG ◽  
Shenghui YANG ◽  
Xingxing LIU ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4231 ◽  
Author(s):  
Emerson Navarro ◽  
Nuno Costa ◽  
António Pereira

The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.


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