Captivating Profitable Applications of Artificial Intelligence in Agriculture Management

Sivarethinamohan, R.; Yuvaraj, D.; Priya, S. Shanmuga; Sujatha, S.

doi:10.1007/978-3-030-68154-8_73

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The latest greenhouse technology can be integrated with new IoT-based solar energy smart greenhouse systems. Automation technologies that a smart greenhouse system integrates to achieve sustainable agriculture include (1) use of IoT sensors to collect greenhouse data on environmental parameters, such as humidity, temperature, light, soil moisture, concentration, and pH; (2) a photovoltaic-thermal (PVT) solar energy-based system to generate photovoltaic energy, which is necessary for operation of the electrical system and thus economical; and (3) Wireless Sensor Network (WSN) nodes that provide cloud storage and thus enable remote control of the greenhouse system [63][64][65][66].…”

Section: (F) Smart Greenhousesmentioning

confidence: 99%

Assessment of Smart Mechatronics Applications in Agriculture: A Review

Amertet,

Gebresenbet,

Alwan

et al. 2023

Applied Sciences

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Smart mechatronics systems in agriculture can be traced back to the mid-1980s, when research into automated fruit harvesting systems began in Japan, Europe, and the United States. Impressive advances have been made since then in developing systems for use in modern agriculture. The aim of this study was to review smart mechatronics applications introduced in agriculture to date, and the different areas of the sector in which they are being employed. Various literature search approaches were used to obtain an overview of the current state-of-the-art, benefits, and drawbacks of smart mechatronics systems. Smart mechatronics modules and various networks applied in the processing of agricultural products were examined. Finally, relationships in the data retrieved were tested using a one-way analysis of variance on keywords and sources. The review revealed limited use of sophisticated mechatronics in the agricultural industry in practice at a time of falling production rates and a dramatic decline in the reliability of the global food supply. Smart mechatronics systems could be used in different agricultural enterprises to overcome these issues.

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Section: (F) Smart Greenhousesmentioning

confidence: 99%

Assessment of Smart Mechatronics Applications in Agriculture: A Review

Amertet,

Gebresenbet,

Alwan

et al. 2023

Applied Sciences

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“…The current trends have encouraged local entrepreneurs into taking opportunities in marketing local food to add to the stock of food in the country. Concurrent shifts in using robots, GPS technology, temperature and moisture sensors, aerial images, and smartphone apps are being used to increase food production, been also used in many regions of the world including Malaysia to ensure more profitable, efficient, safer, and more environmentally friendly method (Mogili & Deepak, 2020;Sivarethinamohan, Yuvaraj, Shanmuga Priya & Sujatha, 2021;Yin, Cao;Marelli, Zeng, Mason & Cao,2021, Muangprathub, Boonnam, Kajornkasirat, Lekbangpong, Wanichsombat & Nillaor,2019Rathinam, Surendran, Shilpa, Grace & Sherin;2019).…”

Section: Introductionmentioning

confidence: 99%

Agripreneurial Intention among Young Business Graduates

Mohammad,

Shafie,

Shafie

et al. 2023

IMBR

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The low level of public involvement in the agricultural sector in many developed and developing countries have led to a magnitude of the food security crisis. Malaysia has a large proportion of young people and has a high rate of youth unemployment. One answer is to encourage recent graduates to start businesses in the agriculture sector. This article presents data that examined the intention of the young graduate to venture into the agricultural sector, using attitude, social norms, and perceived behavioral control to solve the current food security crisis. Data was collected from young graduates who have taken business and entrepreneurship courses at the university. A self-administrated online questionnaire was designed and distributed to these young people. This study contributes to the insight into the young generation of graduates’ intention to venture into the agricultural sector as well as provides suggestions or recommendations for future studies.

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Nurturing the Rudiments and Use Cases of Ongoing Natural Language Generation for a Future Profitable Business More Profitable

Sivarethinamohan¹,

Sujatha²

2021

Learning and Analytics in Intelligent Systems

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Captivating Profitable Applications of Artificial Intelligence in Agriculture Management

Cited by 4 publications

References 13 publications

Assessment of Smart Mechatronics Applications in Agriculture: A Review

Assessment of Smart Mechatronics Applications in Agriculture: A Review

Agripreneurial Intention among Young Business Graduates

Nurturing the Rudiments and Use Cases of Ongoing Natural Language Generation for a Future Profitable Business More Profitable

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