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Application of artificial intelligence in agriculture including horticulture

机译：人工智能在农业（包括园艺）中的应用

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摘要

The agriculture industry in India is primarily based on conventional farming methods and age old work fundamentals,beliefs and practices. It is emerging as more vulnerable section among all the productive professions in terms of its modernization strategies to stand viable in spite of climatic adversities and other challenges. In present context, Indian agriculture sector is facing number of problems such as low productivity with poor quality production and inadequate marketing for better profitability.The digital technologies are the modem format of Information and Communication Technologies (ICT) that offer many important applications in agriculture to increase productivity and profitability. The digital technologies such as Artificial Intelligence (Al), Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Virtual Reality (VR), Extended Reality (ER), Mixed Reality (MR), Multispectral and Hyperspectral Imaging, Drones, Robotics, Block Chain technology etc.find extensive scope of application in agriculture sector. The deployment of sensors on crop field and the management of sensor data with the help of Cloud based Artificial Intelligence algorithms and Big Data Analytics, has made Smart Farming grow exponentially as data have become the key element to help fanners in critical decision-making and to increase the crop productivity and its quality with optimum resource utilization, thus reducing overall expenditures and increasing the income of the farmers. The present article highlights some of the major applications of artificial intelligence based techniquesin agriculture.
机译：在印度主要是农业产业基于传统的耕作方式和年龄老了工作基础,信仰和实践。在成为更脆弱的部分富有成效的职业的站可行尽管现代化策略气候灾害和其他挑战。现在的环境下,印度农业部门面临着许多问题,如低生产力与生产和质量欠佳营销更好的盈利能力不足。数字技术的现代格式信息和通讯技术(ICT)提供许多重要的应用提高生产率和农业盈利能力。人工智能(Al),机器学习(毫升),深度学习(DL),物联网(物联网),虚拟现实(VR),扩展的现实(ER),混合现实(先生),多光谱高光谱成像、无人机、机器人、块链技术etc.find广泛的范围在农业中的应用。传感器对作物领域的管理传感器数据和基于云的帮助人工智能算法和大数据分析了智能农业增长指数数据成为了关键因素在关键决策和帮助农民提高作物生产力和质量优化资源利用,从而减少总体支出和增加的收入农民。的主要应用的人工基于智能techniquesin农业。

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