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Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability.

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成果类型:
期刊论文
作者:
Vincent, Durai Raj;Deepa, N.;Elavarasan, Dhivya;Srinivasan, Kathiravan*;Chauhdary, Sajjad Hussain*;...
通讯作者:
Srinivasan, Kathiravan;Chauhdary, Sajjad Hussain
作者机构:
[Vincent, Durai Raj; Elavarasan, Dhivya; Srinivasan, Kathiravan; Deepa, N.] Vellore Inst Technol, Sch Informat Technol & Engn, Vellore 632014, Tamil Nadu, India.
[Chauhdary, Sajjad Hussain] Univ Jeddah, Coll Comp Sci & Engn, Jeddah 21577, Saudi Arabia.
[Iwendi, Celestine] BCC Cent South Univ Forestry & Technol, Dept Elect, Changsha 410004, Hunan, Peoples R China.
通讯机构:
[Srinivasan, Kathiravan] V
[Chauhdary, Sajjad Hussain] U
Vellore Inst Technol, Sch Informat Technol & Engn, Vellore 632014, Tamil Nadu, India.
Univ Jeddah, Coll Comp Sci & Engn, Jeddah 21577, Saudi Arabia.
语种:
英文
关键词:
IoT in agriculture;agricultural data;land suitability using sensors;multi-layer perceptron;sensor data in agriculture;smart agriculture
期刊:
Sensors
ISSN:
1424-3210
年:
2019
卷:
19
期:
17
页码:
1-16
机构署名:
本校为其他机构
摘要:
The world population is expected to grow by another two billion in 2050, according to the survey taken by the Food and Agriculture Organization, while the arable area is likely to grow only by 5%. Therefore, smart and efficient farming techniques are necessary to improve agriculture productivity. Agriculture land suitability assessment is one of the essential tools for agriculture development. Several new technologies and innovations are being implemented in agriculture as an alternative to collect and process farm information. The rapid development of wireless sensor networks has triggered th...

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