
Data analysis and digitalisation in the agricultural industry
Author(s) -
А У Менциев,
Farida F. Gatina
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/677/3/032101
Subject(s) - interoperability , arable land , unavailability , agriculture , computer science , agricultural productivity , middleware (distributed applications) , population , risk analysis (engineering) , environmental economics , business , engineering , geography , economics , database , world wide web , demography , archaeology , sociology , reliability engineering
As we know the growing population give birth to many serious problems in the whole world but, the major one is the increase in hunger and unavailability of food. Due to the reduction in natural sources, limited arable land, unpredictable weather conditions crops growth is at risk today. The IoT allows agriculture to become data-driven, leads to more timely and cost-effective production and management, and limiting uncertainties and inefficiencies of environmental impact. This review is about an analytical survey of the application of IoT in arable farming to overcome challenges, suggesting possible solutions, and implementation and present some future directions in contrast with other agricultural systems. Current issues like the latest technologies, smartphones, intelligent management of WSN, middleware platforms etc. protrude because they have the power to transform arable farming into smart arable farming. For implementation, various challenges are encountered and interoperability is major hurdle throughout the architecture of the IoT system, which can be discussed by shared standards and protocols. Challenges like affordability, device power consumption, network latency etc. can be reviewed and solutions of these challenges are suggested.