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The Prospect of Artificial Intelligence (AI) in Precision Agriculture for Farming Systems Productivity in Sub-Tropical India: A Review

机译:人工智能(AI)在亚热带印度农业生产力精密农业中的前景:综述

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Agriculture is becoming more integrated in the agro-food chain and the global market, while environmental, food safety and quality are also increasingly impacting on the sector. It is facing with new challenges to meet growing demands for food, to be internationally competitive and to produce agricultural products of high quality. To cope with these challenges, Agriculture requires a continuous and sustainable increase in productivity and efficiency on all levels of agricultural production, while resources like water, energy, fertilizers etc. need to be used carefully and efficiently in order to protect and maintain the soil quality and environment. Consequently, Agriculture needs help in handling the complexity, uncertainty and fuzziness inherent in this domain. It requires new solutions for all aspects of agricultural farming, including precision farming and optimized resource application. Artificial Intelligence (AI) technology helps various industries to improve production and productivity. In agriculture, AI also allows farmers to increase their productivity and reduce negative environmental impacts. AI is changing the way our food is processed, where emissions from the agricultural sector have decreased by 20%. Together with precision agriculture (PA) and other emerging technologies, artificial intelligence (AI) can play a key role in modernizing agricultural practices and achieving the goal of improving the productivity of alternative arable cropping systems. In offering progressive change with advanced approaches, AI's future in agriculture is well ahead. The aim of this paper is to review various agricultural intelligence applications and to reduce the use of colossal amounts of chemicals with the aid of these technologies, resulting in reduced spending, improved soil fertility and increased productivity. With AI tools and machine learning, farmers can improve yields, protect their crops and have a much more reliable source of food.
机译:农业在农业食品链和全球市场中越来越纳入,而环境,食品安全和质量也越来越受到该部门的影响。它面临着满足对食品的需求不断增长的新挑战,是国际竞争力,生产高质量的农产品。为了应对这些挑战,农业需要持续和可持续的生产力和效率提高各级农业生产,而水,能源,肥料等的资源需要仔细和高效地使用,以保护和维持土壤质量和环境。因此,农业需要有助于处理该领域固有的复杂性,不确定性和模糊性。它需要新的农业各方面的新解决方案,包括精密农业和优化的资源应用。人工智能(AI)技术有助于各种行业提高生产和生产力。在农业中,AI还允许农民提高生产率并降低负面环境影响。 AI正在改变我们的食物的处理方式,农业部门的排放量减少了20%。与精密农业(PA)和其他新兴技术一起,人工智能(AI)可以在现代化农业实践中发挥关键作用,并实现改善替代耕作种植系统的生产率的目标。在通过先进的方法提供进步变革时,AI在农业中的未来是很好的。本文的目的是借助这些技术审查各种农业智力应用,并减少巨大化学品的使用,从而降低支出,改善土壤肥力和提高生产率。随着AI工具和机器学习,农民可以提高产量,保护他们的作物,并具有更可靠的食物来源。

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