Design Process for Adaptive Spraying of Pesticides Based on Mutual Plant Health Detection and Monitoring: A Review

D. Shende, Nikhil P. Wyawahare, L. Thakare, Rahul Agrawal
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引用次数: 1

Abstract

In modern days Agriculture industry requires automation on the industry standard 4.0 to increase the need for food demand to make satisfy the 103.5 million Metric Tons of grains per year, like rice crops where there is a need for precautionary health monitoring and plant cultivation must be in future looking at growth in recent years of the human population. Here the suggestive approach is to design and implementation of a robotics mechanism that holds records of plants-health, and environmental conditions, and the effective use of pesticides as per need should be monitored in real-time. Since the existing geographical conditions for agriculture plants and their proper growth depend on either sufficient rainfall or a good water supply with better knowledge of the fertilization process suited as per fertility of the land. In India during cultivation very few farmers are going for the fertility test of their lands, hence without knowing the actual indexed value it is exceedingly difficult to the prediction of fertilizer mixing & use of different types. Therefore, many such farmers do work on belief in the knowledge of ancient ways of traditional cultivation. This is the root cause of failure in agriculture where the crops are not getting proper nutrition, which results in a minimal amount of production & loss of crops. According to one of the case studies of rice cultivation types, such as transplantation, drilling, Japanese, and broadcast methods. Pesticides have been used mainly for the protection of plants as well as humans from malaria, dengue, and fever. In the Indian pesticide industry investment in pesticides in 2019 is over 73 billion Indian rupees. Different types of pesticides have been used for farming such as herbicides, insecticides, fungicides, bactericides, etc. the effect of pesticides on the fertility of crops and land is due to the hard treatment of soil with pesticides causing the population of soil microorganisms to decrease. As per the Government of India, 30 percent of land gets degraded. This review paper is focused on such cases where the complex situation can be minimized and how IoT is helpful in the Adaptive Spraying of Pesticides Depending on Mutual Plant Health Detection and Monitoring is suggested.
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基于植物健康互检测与监测的自适应农药喷洒设计过程综述
在现代,农业工业需要工业标准4.0上的自动化,以增加对粮食需求的需求,以满足每年1.035亿公吨的谷物需求,如水稻作物,需要预防性健康监测,植物种植必须在未来关注近年来人口的增长。在这里,建议的方法是设计和实现一个机器人机制,该机制可以保存植物健康和环境条件的记录,并根据需要实时监测农药的有效使用。由于农业植物的现有地理条件及其适当的生长取决于充足的降雨或良好的供水,并根据土地的肥力更好地了解施肥过程。在印度,在耕种期间,很少有农民会对他们的土地进行肥力测试,因此,在不知道实际指数值的情况下,很难预测不同类型的肥料混合和使用。因此,许多这样的农民相信古老的传统耕作方式的知识。这是农业失败的根本原因,作物没有得到适当的营养,导致产量和作物损失很少。根据其中一个水稻栽培类型的案例研究,如插秧、钻孔、日播和播种法。农药主要用于保护植物和人类免受疟疾、登革热和发烧的侵害。在印度农药行业,2019年农药投资超过730亿印度卢比。不同类型的农药被用于农业,如除草剂、杀虫剂、杀菌剂、杀菌剂等。农药对作物和土地肥力的影响是由于农药对土壤的硬性处理导致土壤微生物数量减少。根据印度政府的数据,30%的土地退化。这篇综述论文的重点是在这些情况下,可以最大限度地减少复杂的情况,并建议物联网如何在基于相互植物健康检测和监测的农药自适应喷洒中发挥作用。
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