Submission in the field of farming using machines
Author(s):
Vikash Kumar gupta, Dr. Mohammed Bakhtawar Ahmed
Keywords:
Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Farming
Abstract
Farming is one of the major sources of economy in the country. Precision Farming is already in implementation in other countries but there is a need to implement, improve and evolve IoT (Internet of Things) and cloud computing technologies for better production of the crop. There is a steady increase in demand with population growth. Modernization in Farming reduces dependency on individual human labor and land. The technology allows operational devising and accelerates verdict making on Farms. IoT allows us to accumulate surrounding data, stock it, concoct it and disseminate the information. The adoption of cloud computing has undergone a huge rise in need and would continue to grow in the coming future with improved cloud hosting and processing dexterities. AI (Artificial Intelligence) and IoT is a great lead as a solution to increased productivity. The data through IoT devices is made available publicly for research purposes as data sets and is processed and examined for further prediction related to the crop being produced. The Traditional Technique of farming does not involve any process such as seed selection, soil analysis, weather analysis, vegetation analysis, Nutrient analysis if all these factors are taken in care, this all would bring a drastic change in the society. The System also has a block-chain based shipping system to ensure proper distribution without any wastage. Though the pen-paper tradition is hard to be replaced but minimizes a lot of work, moreover the analysis of manual work required can also be analyzed. A more intricate approach to IoT products in Farming can be represented by the so-called farm productivity management systems. They usually include several Farming IoT devices and sensors, installed on the premises as well as a powerful dashboard with analytical capabilities and in-built accounting/reporting features. In addition to the listed IoT Farming use cases, some prominent opportunities include vehicle tracking (or even automation), storage management, logistics, etc.
Article Details
Unique Paper ID: 153419

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 139 - 145
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