SOLAR POWERED SMART MULTIPURPOSE AGRICULTURE ROBOT

Multipurpose agricultural robots are becoming increasingly important in modern farming due to labor shortages and the need for improved efficiency and productivity. Traditional farming methods require significant manual effort and time, which can be reduced through automation. This project focuses on the de-sign and implementation of a multipurpose agriculture robot capable of performing six essential farming operations: spraying, digging, cultivating, seeding, solar charging, and grass cutting. The robot is designed to operate efficiently in various agricultural conditions while minimizing human intervention. The system integrates multiple mechanisms and control units to perform different tasks using a single platform and utilizes electric motors, sensors, and control circuits to switch between operations effectively. Solar charging is incorporated to provide a sustain-able and energy-efficient power source, enabling longer operation time in the field. The robot enhances precision in farming activities such as uniform seed distribution, controlled pesticide spraying, and efficient soil preparation. Additionally, the robot improves overall farm productivity by reducing labor costs and increasing operational speed. The multipurpose functionality eliminates the need for multiple machines, making it cost effective for farmers. The system aims to support smart agriculture practices and promote the adoption of modern technology in farming.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-21
DOI
https://doi.org/10.5281/zenodo.19675718
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SOLAR POWERED SMART MULTIPURPOSE AGRICULTURE ROBOT

A. Vamsi Krishna, M. Ramya, M. Madhurya Reddy, P. Jashuva, R. Naga Durga Rao
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

SOLAR POWERED SMART MULTIPURPOSE AGRICULTURE ROBOT

A. Vamsi Krishna, M. Ramya, M. Madhurya Reddy, P. Jashuva, R. Naga Durga Rao
article en

Abstract

Multipurpose agricultural robots are becoming increasingly important in modern farming due to labor shortages and the need for improved efficiency and productivity. Traditional farming methods require significant manual effort and time, which can be reduced through automation. This project focuses on the de-sign and implementation of a multipurpose agriculture robot capable of performing six essential farming operations: spraying, digging, cultivating, seeding, solar charging, and grass cutting. The robot is designed to operate efficiently in various agricultural conditions while minimizing human intervention. The system integrates multiple mechanisms and control units to perform different tasks using a single platform and utilizes electric motors, sensors, and control circuits to switch between operations effectively. Solar charging is incorporated to provide a sustain-able and energy-efficient power source, enabling longer operation time in the field. The robot enhances precision in farming activities such as uniform seed distribution, controlled pesticide spraying, and efficient soil preparation. Additionally, the robot improves overall farm productivity by reducing labor costs and increasing operational speed. The multipurpose functionality eliminates the need for multiple machines, making it cost effective for farmers. The system aims to support smart agriculture practices and promote the adoption of modern technology in farming.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 6%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.