1 research outputs found
Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0
This work was supported by the projects: "VIRTUOUS" funded by the European Union's Horizon 2020 Project H2020-MSCA-RISE-2019. Ref. 872181, "SUSTAINABLE" funded by the European Union's Horizon 2020 Project H2020-MSCA-RISE-2020. Ref. 101007702 and the "Project of Excellence" from Junta de Andalucia 2020. Ref. P18-H0-4700. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Timely and reliable information about crop management, production, and yield is considered
of great utility by stakeholders (e.g., national and international authorities, farmers, commercial
units, etc.) to ensure food safety and security. By 2050, according to Food and Agriculture Organization
(FAO) estimates, around 70% more production of agricultural products will be needed to fulfil
the demands of the world population. Likewise, to meet the Sustainable Development Goals (SDGs),
especially the second goal of âzero hungerâ, potential technologies like remote sensing (RS) need to
be efficiently integrated into agriculture. The application of RS is indispensable today for a highly
productive and sustainable agriculture. Therefore, the present study draws a general overview of
RS technology with a special focus on the principal platforms of this technology, i.e., satellites and
remotely piloted aircrafts (RPAs), and the sensors used, in relation to the 5th industrial revolution.
Nevertheless, since 1957, RS technology has found applications, through the use of satellite imagery,
in agriculture, which was later enriched by the incorporation of remotely piloted aircrafts (RPAs),
which is further pushing the boundaries of proficiency through the upgrading of sensors capable of
higher spectral, spatial, and temporal resolutions. More prominently, wireless sensor technologies
(WST) have streamlined real time information acquisition and programming for respective measures.
Improved algorithms and sensors can, not only add significant value to crop data acquisition, but
can also devise simulations on yield, harvesting and irrigation periods, metrological data, etc., by
making use of cloud computing. The RS technology generates huge sets of data that necessitate the
incorporation of artificial intelligence (AI) and big data to extract useful products, thereby augmenting
the adeptness and efficiency of agriculture to ensure its sustainability. These technologies have
made the orientation of current research towards the estimation of plant physiological traits rather
than the structural parameters possible. Futuristic approaches for benefiting from these cutting-edge
technologies are discussed in this study. This study can be helpful for researchers, academics, and
young students aspiring to play a role in the achievement of sustainable agriculture.European Commission 101007702
872181Junta de Andalucia P18-H0-470