Digital Platform for Data Driven Aquaculture Farm Management

D. Piplani, Dineshkumar Singh, K. Srinivasan, N. Ramesh, Anil Kumar, V. Kumar
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引用次数: 7

Abstract

Besides meeting the domestic needs of cheap animal protein, Indian fisheries, is source of livelihood for 14.5 million fishers [1]. During FY2014-15, inland fisheries grew at 7.9%, fetching US $5.5 billion in foreign exchange [2]. But aquaculture farming requires lot of care, including periodic observations of the weather, water quality and feed consumption. Drop in feed consumption, coupled with low temperature, may be an early indication of a disease. In FY13-14, shrimp production fell in Southeast Asian countries due to spread of Early Mortality Syndrome (EMS) disease, reducing export by 50% [3]. Hence farm data is crucial for daily data driven crop health monitoring and management. But it's very difficult to manually assimilate such bulky data and extract information impacting real-time decision making. This is especially challenging when each farmer manages multiple ponds, spread out over a distance and with no or low speed data network. mKRISHI® collaborated with farm managers, government regulators and farmers to develop "mKRISHI® -AQUA" service, in an iterative, multi-phase development process. This service helps in data collection, compilation and presentation of the patterns in visual format, enabling decision on further operations (such as feeding) in a more real-time manner compared to paper based operation.
数据驱动的水产养殖场管理数字平台
除了满足国内对廉价动物蛋白的需求外,印度渔业还是1450万渔民的生计来源。2014- 2015财年,内陆渔业增长7.9%,获得55亿美元外汇收入。但是水产养殖需要大量的照料,包括定期观察天气、水质和饲料消耗。饲料消耗量下降,再加上低温,可能是疾病的早期征兆。在2013 -14财年,由于早期死亡综合征(EMS)疾病的蔓延,东南亚国家的虾产量下降,出口减少了50%。因此,农场数据对于日常数据驱动的作物健康监测和管理至关重要。但人工吸收如此庞大的数据并提取影响实时决策的信息是非常困难的。当每个农民管理多个池塘,分散在很远的地方,没有或低速数据网络时,这尤其具有挑战性。mKRISHI®与农场管理者、政府监管机构和农民合作,在一个迭代的、多阶段的开发过程中开发了“mKRISHI®-AQUA”服务。与基于纸张的操作相比,该服务有助于以可视化格式收集、编译和表示模式,从而能够以更实时的方式对进一步的操作(如馈送)做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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