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Artificial Intelligence and Digital Application in Soil Science : Potential Options for Sustainable Soil Management in Future

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Title Artificial Intelligence and Digital Application in Soil Science : Potential Options for Sustainable Soil Management in Future
Not Available
 
Creator Priyabrata Santra
Mahesh Kumar
Bajrang Lal Dhaka
 
Subject Artificial Intelligence; Machine Learning; Digital Soil Mapping; Soil Information System; Handheld Device; Digital Camera
 
Description Not Available
Soil supports plant growth by supplying nutrients and water and thus plays
a key role in agricultural production system. Therefore, sustainable
management of soil resources is very important to meet the food production
targets. Soil nutrient statuses are generally monitored on regular basis to
apply additional nutrient requirement for plant growth through manures
and fertilizers. Similarly, soil hydraulic properties e.g. hydraulic conductivity,
water retention etc are to be characterized in order to apply right amount of
irrigation water at right time. Conventionally, soils are characterized through
field sampling followed by their laboratory analysis. However, considering
the spatial variation of soil properties and time required to measure these
properties in laboratory, it if often found difficult to collect multiple samples
from field and then to determine soil properties in laboratory. With the
advancement in digital technology specifically the artificial intelligence and
machine learning tools, there is huge scope to apply these technologies to
assess soil properties in field in a quick time. Here, we discusses few potential
options of artificial intelligence and digital technology to apply in soil science.
Digital camera can be used to prepare digital soil library and then applying
machine learning tools on the large database on digital photographs may be
possible to relate soil properties with colour. Machine learning tools e.g.
random forest regression, support vector machines, regression tree etc. can
be applied to prepare digital soil maps using legacy soil data after considering
the ‘scorpan’ factors of soil formation. The available information of soil
resources as well as the information generated through machine learning
tools can be made available to stakeholders through soil information system
in different platforms e.g. android application in smart phones, web GIS in
desktops etc. Further, handheld devices may be developed to quickly measure
soil properties in field. Therefore these technologies have huge potentials in
agriculture and coworking robots (cobots) is a futuristic option.
ICAR
 
Date 2020-08-13T04:36:17Z
2020-08-13T04:36:17Z
2020-01-01
 
Type Research Paper
 
Identifier Santra, P., Kumar, M., Dhaka, B.L., 2020. Artificial intelligence and digital application in soil science: Potential options for sustainable soil management in future. SATSA Mukhapatra - Annual Technical Issue, 24, pp. 1-23.
0971-975X
http://krishi.icar.gov.in/jspui/handle/123456789/39466
 
Language English
 
Relation Not Available;
 
Publisher SATSA, West Bengal