了解人工智能在农业领域的潜在应用

Mohd Javaid , Abid Haleem , Ibrahim Haleem Khan , Rajiv Suman
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引用次数: 41

摘要

人工智能(AI)近年来在农业中得到了广泛的应用。为了种植更健康的作物、管理害虫、监测土壤和生长条件、为农民分析数据以及加强食品供应链的其他管理活动,农业部门正在转向人工智能技术。这使得农民很难选择理想的播种时间。人工智能帮助农民为特定天气情况选择最佳种子。它还提供天气预报数据。人工智能驱动的解决方案将帮助农民用更少的资源生产更多的产品,提高作物质量,并加快产品进入市场的时间。人工智能有助于了解土壤质量。人工智能通过建议农民应该施用的营养素来提高土壤质量,从而帮助农民。人工智能可以帮助农民选择最佳的播种时间。智能设备可以计算种子之间的间距和最大种植深度。一个被称为健康监测系统的人工智能系统为农民提供有关作物健康的信息,以及提高产量质量和数量所需的营养素。本研究确定并分析了有关农业人工智能的相关文章。使用人工智能,农民现在可以获得先进的数据和分析工具,这些工具将促进更好的农业发展,提高效率,减少生物燃料和粮食生产中的浪费,同时将负面环境影响降至最低。人工智能和机器学习(ML)已经改变了各个行业,人工智能浪潮现在已经波及农业部门。公司正在开发几种技术,使监测农民的作物和土壤健康变得更容易。高光谱成像和3D激光扫描是领先的基于人工智能的技术,可以帮助确保作物健康。这些人工智能技术以更大的量收集作物健康的精确数据进行分析。本文研究了人工智能及其在农业中的应用。简要介绍了人工智能在农业中的应用过程以及人工智能监测的一些农业参数。最后,我们确定并讨论了人工智能在农业中的重要应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Understanding the potential applications of Artificial Intelligence in Agriculture Sector

Understanding the potential applications of Artificial Intelligence in Agriculture Sector

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data for farmers, and enhance other management activities of the food supply chain, the agriculture sector is turning to AI technology. It makes it challenging for farmers to choose the ideal time to plant seeds. AI helps farmers choose the optimum seed for a particular weather scenario. It also offers data on weather forecasts. AI-powered solutions will help farmers produce more with fewer resources, increase crop quality, and hasten product time to reach the market. AI aids in understanding soil qualities. AI helps farmers by suggesting the nutrients they should apply to increase the quality of the soil. AI can help farmers choose the optimal time to plant their seeds. Intelligent equipment can calculate the spacing between seeds and the maximum planting depth. An AI-powered system known as a health monitoring system provides farmers with information on the health of their crops and the nutrients that need to be given to enhance yield quality and quantity. This study identifies and analyses relevant articles on AI for Agriculture. Using AI, farmers can now access advanced data and analytics tools that will foster better farming, improve efficiencies, and reduce waste in biofuel and food production while minimising the negative environmental impacts. AI and Machine Learning (ML) have transformed various industries, and the AI wave has now reached the agriculture sector. Companies are developing several technologies to make monitoring farmers' crop and soil health easier. Hyperspectral imaging and 3D laser scanning are the leading AI-based technologies that can help ensure crop health. These AI-powered technologies collect precise data on the health of the crops in greater volume for analysis. This paper studied AI and its need in Agriculture. The process of AI in Agriculture and some Agriculture parameters monitored by AI are briefed. Finally, we identified and discussed the significant applications of AI in agriculture.

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