Thursday, 5 October 2023

Sensor Based Nutrient Recommender System for Solanum lycopersicum | Chapter 3 | Advances and Challenges in Science and Technology Vol. 3

The aim of this study search out spread information about how to use sensor dossier to establish a accuracy-based recommender system for food management. Agriculture surrounds crop and livestock result, aquaculture, fisheries and forestry for foodstuff and non-food fruit. Agriculture was the key development in the rise of sedentary human culture, whereby ranching of domesticated variety created food surpluses that allowed people to person who waits on another cities.  The restoration of the vitamin is essential, in this view skilled is need to adopt accuracy agriculture system that change crop related plans and requirements, whereas nutrient administration is a major rule that is wanted to be spotlight in the field of production techniques. The exploratory study of this research work is conducted utilizing a terrace flowers. The nutrient administration with respect to the horticulture crop attractive woman is considered as the main crop. The samples are detached into two groups, A and B, which represent samples accompanying and without the use of instinctive fertilizers and manures, respectively. The results of the study of the growth parameters are proved. This paper describes the dossier collecting process utilizing sensors and an Arduino equipment. During the period of tumor, the effects of pests and some remedies used are recorded. For the purpose of creating plans for nutrient management wholes, the expert advice supported in the soil test results is taken into account.

Author(s) Details:

G. Yogeswari,
Department of Computer Science, Alagappa University, Karaikudi, India.

A. Padmapriya,
Department of Computer Science, Alagappa University, Karaikudi, India.

Please see the link here: https://stm.bookpi.org/ACST-V3/article/view/12015

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