Structural design and its analysis of two station notching tool for industrial die

Waghmare, Subhash N.; Shelare, Sagar D.; Bahl, Shashi; Mungle, Nischal P.; Bagha, Ashok Kumar; Sharma, Rakesh Chandmal

doi:10.1016/j.matpr.2022.06.360

Cited by 7 publications

(1 citation statement)

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“…The implementation of fuzzy control in irrigation systems ensures the mitigation of the potential hazard of under-irrigation by regulating soil moisture levels to remain above the predetermined threshold set by the user [43]. The findings gained demonstrate the system's effectiveness and dependability in both the summer and autumn [44]. The work does not explain about automation of the system, also accuracy of the system can be enhanced with optimization approach for sensory value analysis.…”

Section: Figure 1 Categorize Of Irrigation Systemmentioning

confidence: 99%

Fuzzy rules based smart irrigation system using adaptive bacterial foraging optimization

Bhoyar,

Kanojia,

Chourasia

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The practice of agriculture is heavily reliant on the implementation of irrigation systems. Technology improvements have made it unnecessary to rely on someone else to perform irrigation when we are out and whenever crops need to be watered. Many researchers have attempted to autonomously irrigate crops, but difficulties with accuracy, timing, and cost are rarely addressed and given top priority. The proposed approach employs a real-time sensor, wireless sensor network, the adaptive bacterial foraging optimization (ABFO) algorithm, and a fuzzy irrigation system control to achieve autonomous watering, thereby enabling smart irrigation. This method reduces waste while preserving the container’s water supply. Automated irrigation determines whether crops need to be watered by considering the type of crop, the weather, and the soil moisture and not soil moisture alone. The need for water is calculated using the three aforementioned criteria and fuzzy control drives the automation. Using an arduino-based IoT circuitry, the bioinspired model with algorithm adaptive bacterial foraging optimization, generates the optimized values for three parameters, which are then used by fuzzy logic control to predict the watering requirements of the plants. In terms of accuracy, timeliness, and cost, the suggested approach is advantageous. With this model, it is now possible to completely automate the irrigation system.

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Section: Figure 1 Categorize Of Irrigation Systemmentioning

confidence: 99%