Saffron corm sorting and rot treatment strategy for productivity enhancement for precision agriculture

IF 0.7 4区 农林科学 Q3 AGRONOMY Emirates Journal of Food and Agriculture Pub Date : 2024-04-24 DOI:10.3897/ejfa.2024.121062
K. Kour, Yonis Gulzar, Mohammad Shuaib Mir, Deepali Gupta, Kamali Gupta, Abhinav Juneja, Najla Almousa, Osman Elwasila
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Abstract

One of the most economical and precious spices ever known is saffron. It has innumerable pharmaceutical applications, and its cultivation is limited to certain topographic regions throughout the world. Although efforts are continuously being made to increase productivity and increase the area under cultivation, there are multiple factors leading to its low production. Corm size is one of the major factors affecting the quality and production of saffron. The more the corm size for a plantation, the better the yield of the crop. This can pose a serious threat to saffron cultivators who are not able to get good quality corms and sort quality corms from infected ones. Additional factors affecting saffron cultivation include attack by fungus leading to corm rots and sclerotineal disease. In this paper, IoT (Internet of Things) has been used to provide an energy-efficient, ready-to-use, reliable, and user-friendly solution for corm sorting and treatment before sowing to promote quality, better yield and minimized wastage due to corm rots. After sorting the corms, they are treated with 0.2% of tiabendazole fungicide solution and dried, before sowing and for long-term storage. Firstly, sorting and treatment system for the saffron corms processing as per weight is proposed. First two-layer cleaning mechanism to remove foreign substances, then three-step treatment has been applied to remove microorganisms. An automated conveyor system equipped with IoT devices was used for sorting and treating saffron corms. Different energy efficient LPWA (Low Power Wide Area) and LTE (Long Term Evolution) technologies used in the framework, for communication are NB-IoT (Narrow Band IoT) and LoRa (Long Range Radio).
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西红花花茎分类和腐烂处理策略,提高精准农业的生产率
藏红花是有史以来最经济、最珍贵的香料之一。藏红花具有无数的医药用途,但其种植仅限于世界各地的某些地形区。虽然人们一直在努力提高生产率和增加种植面积,但导致其产量低下的因素是多方面的。花蕾大小是影响藏红花质量和产量的主要因素之一。种植园的花蕾越大,作物的产量就越高。这可能会对藏红花种植者造成严重威胁,因为他们无法获得优质球茎,也无法从受感染的球茎中挑选出优质球茎。影响藏红花种植的其他因素还包括真菌侵袭导致的球茎腐烂病和硬皮病。本文利用物联网(IoT)为播种前的球茎分拣和处理提供了一个节能、随时可用、可靠且用户友好的解决方案,以提高质量、增加产量并最大限度地减少球茎腐烂造成的浪费。在对球茎进行分拣后,用 0.2% 的噻苯咪唑杀菌剂溶液对球茎进行处理并烘干,然后再进行播种和长期储存。首先,提出了按重量处理藏红花球茎的分拣和处理系统。首先采用两层清洁机制去除异物,然后采用三步处理法去除微生物。配备物联网设备的自动输送系统用于分拣和处理藏红花球茎。该框架采用了不同的高能效 LPWA(低功耗广域)和 LTE(长期演进)技术,包括 NB-IoT(窄带物联网)和 LoRa(远距离无线电)。
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来源期刊
Emirates Journal of Food and Agriculture
Emirates Journal of Food and Agriculture AGRONOMYFOOD SCIENCE & TECHNOLOGY&nb-FOOD SCIENCE & TECHNOLOGY
CiteScore
1.80
自引率
0.00%
发文量
18
期刊介绍: The "Emirates Journal of Food and Agriculture [EJFA]" is a unique, peer-reviewed Journal of Food and Agriculture publishing basic and applied research articles in the field of agricultural and food sciences by the College of Food and Agriculture, United Arab Emirates University, United Arab Emirates.
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