Horticulture 4.0: Adoption of Industry 4.0 Technologies in Horticulture for Meeting Sustainable Farming

被引:14
|
作者
Singh, Rajat [1 ]
Singh, Rajesh [2 ,3 ]
Gehlot, Anita [2 ,3 ]
Akram, Shaik Vaseem [2 ,4 ]
Priyadarshi, Neeraj [5 ]
Twala, Bhekisipho [6 ]
机构
[1] Uttaranchal Univ, Sch Agr, Dehra Dun 248007, Uttarakhand, India
[2] Uttaranchal Univ, Uttaranchal Inst Technol, Dehra Dun 248007, Uttarakhand, India
[3] Univ Int Iberoamer, Dept Project Management, Campeche 24560, CP, Mexico
[4] Uttaranchal Univ, Law Coll Dehradun, Dehra Dun 248007, Uttarakhand, India
[5] JIS Coll Engn, Dept Elect Engn, Kolkata 741235, West Bengal, India
[6] Tshwane Univ Technol, Digital Transformat Portfolio, Staatsartillerie Rd,Pretoria West, ZA-0183 Pretoria, South Africa
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 24期
关键词
horticulture; micronutrient; Industry; 4; 0; SDGs; IoT; blockchain; real-time prediction; AR; bigdata; MONITORING-SYSTEM; AGRICULTURE; FRUITS; INTERNET;
D O I
10.3390/app122412557
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The United Nations emphasized a significant agenda on reducing hunger and protein malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated to affect the health of up to two billion people. The UN also recognized this need through Sustainable Development Goals (SDG 2 and SDG 12) to end hunger and foster sustainable agriculture by enhancing the production and consumption of fruits and vegetables. Previous studies only stressed the various issues in horticulture with regard to industries, but they did not emphasize the centrality of Industry 4.0 technologies for confronting the diverse issues in horticulture, from production to marketing in the context of sustainability. The current study addresses the significance and application of Industry 4.0 technologies such as the Internet of Things, cloud computing, artificial intelligence, blockchain, and big data for horticulture in enhancing traditional practices for disease detection, irrigation management, fertilizer management, maturity identification, marketing, and supply chain, soil fertility, and weather patterns at pre-harvest, harvest, and post-harvest. On the basis of analysis, the article identifies challenges and suggests a few vital recommendations for future work. In horticulture settings, robotics, drones with vision technology and AI for the detection of pests, weeds, plant diseases, and malnutrition, and edge-computing portable devices that can be developed with IoT and AI for predicting and estimating crop diseases are vital recommendations suggested in the study.
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页数:19
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