Affiliation:
1. Nueva Vizcaya State University, Bambang, Nueva Vizcaya, Philippines
2. Nueva Vizcaya State University
Abstract
Abstract
The EcoAgriBot project aims to tackle the inefficiencies and labor-intensive aspects of conventional rice farming by the use of a solar-powered, remote-controlled Rice Direct Seeder. The gadget, which is meant to improve accuracy and sustainability in rice cultivation, employs solar energy and an ESP8266 Wi-Fi module for intelligent functioning. The development approach included meticulous strategizing, conceptualization, and experimentation to guarantee optimal performance in arid terrain. The EcoAgriBot's field testing revealed its capacity to be controlled over great distances, its efficiency in seed planting, and its significant reduction in manpower requirements. The user comments emphasized the operating speed, cost-effectiveness, and convenience of use of the product, highlighting its potential to bring about a revolution in rice production. The study's findings indicate that the EcoAgriBot is a notable technical progression, providing a sustainable resolution to contemporary agricultural obstacles and laying the groundwork for forthcoming advancements in farming methodologies.
Publisher
Research Square Platform LLC
Reference5 articles.
1. Mail M, Fazly JM, Maja M, Marshall M, Cutulle G, Miller, Barnes E (2023) Agricultural Harvesting Robot Concept Design and System Components: A Review. AgriEngineering 5, no. 2: 777–800. https://doi.org/10.3390/agriengineering5020048
2. Preethi G, Divyaprakash R, Vettrisilaiuhan L, Sanjay Prabhu S (2023) Seed sowing system using Iot, International Journal Of Engineering Research & Technology (Ijert) Volume 12, Issue 03 (March 2023)
3. Schimmelpfennig D (2016) Farm Profits and Adoption of Precision Agriculture, ERR-217, U.S. Department of Agriculture, Economic Research Service. https://www.ers.usda.gov/webdocs/publications/80326/err-217.pdf?v=0
4. Internet of things-based photovoltaics parameter monitoring system using NodeMCU ESP8266;Sutikno T;Int J Electr Comput Eng,2021
5. Robotic weed control using automated weed and crop classification;Wu X;J Field Robot,2020