Authors :
Shrushti N. Dumale; Akshay Aspalli
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/msabhe2r
Scribd :
https://tinyurl.com/yjd3vnhy
DOI :
https://doi.org/10.38124/ijisrt/25dec469
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
This paper introduces a solar-powered, IoT-enabled smart pesticide-spraying system designed for accurate pest
management in small-scale environments such as home gardens and greenhouse setups. Traditional sprayers apply
chemicals uniformly, which often leads to unnecessary pesticide usage. In contrast, the proposed system minimizes wastage
by directing the spray only to areas that genuinely require treatment. An ESP32-CAM module continuously observes plant
conditions by capturing leaf images and evaluating them for early indications of disease, nutrient stress, or pest activity.
When the system detects an abnormal region, it automatically activates the pump to deliver pesticide precisely to the affected
spot. The entire setup is powered through a 10-watt solar panel paired with a 12-volt battery, ensuring uninterrupted
operation even in remote or off-grid locations. IoT connectivity allows users to monitor plant health, system status, and
spraying activity from a distance, improving convenience and safety. By applying chemicals only when and where needed,
the system is capable of cutting pesticide consumption by roughly 30–40%. It also lowers manual effort and reduces human
exposure to toxic substances. Overall, this approach efficient, intelligent maintaining plant health and managing pests. By
merging automation, renewable energy, and intelligent image-based detection, the system represents a forward-looking
solution for modern plant care. It not only enhances plant protection but also encourages responsible pesticide use, making
it a valuable tool for both hobbyists and small agricultural operations.
Keywords :
IoT, ESP32-CAM, Smart Agriculture, Solar-Powered System, Pesticide Sprinkling, Image & Processing, Precision Farming, Home Gardening, Greenhouse Automation, Targeted Spraying, Sustainable Agriculture.
References :
- Badipati Chinna Babu, Chinnam Sandhya, Namburi Sunitha, Bhukya Hanuma Naik, Addanki Sushma Lahari, Mudavath Vamsi Naik (2025). "Design and Development of an IoT Based Smart Pesticide Spraying Robot" in April 2025 (Volume 13, Issue IV) (IJRASET).
- Singh, Rajesh, Anita Gehlot, Bhupendra Singh, Sushabhan Choudhury (2018). Arduino Meets MATLAB Interfacing, Programs and Simulink. Bentham eBooks imprint. Published by Bentham Science Publishers.
- Dukat, Ira Wahyuni, Wahyu Prihtiyantoro (2025). "A The Role of Precision gardening Technologies in Enhancing Sustainable (gardening)." (Vol2, No.6-2025||E-ISSN2997-7258).
- Abraham, Ajith, Sujata Dash, Subhendu Kumar Pani (2021). AI, Edge and IoT-based Smart Agriculture. Elsevier. (ISBN: 978-0-12-823694-9).
- Tudi, Muyesaier, Huada Daniel Ruan, Li Wang, Jia Lyu, Ross Sadler, Des Connell, Cordia Chu and Dung Tri Phung (2021). "Agriculture Development, Pesticide Application and Its Impact on the Environment." Int. J. Environ. Res. Public Health 2021, 18, 1112.
- Indira, R., S. Sai Pruthvi, S. Hari Prasad (2025). "IoT – BASED SMART GARDENING SYSTEM." (Vol-11 Issue-2 2025).
- Amaresh A M, Anagha G Rao, Fenaaz Afreen (2020). "IOT Enabled Pesticide Sprayer with Security System by using Solar Energy." (IETE – 2020 Conference Proceedings).
This paper introduces a solar-powered, IoT-enabled smart pesticide-spraying system designed for accurate pest
management in small-scale environments such as home gardens and greenhouse setups. Traditional sprayers apply
chemicals uniformly, which often leads to unnecessary pesticide usage. In contrast, the proposed system minimizes wastage
by directing the spray only to areas that genuinely require treatment. An ESP32-CAM module continuously observes plant
conditions by capturing leaf images and evaluating them for early indications of disease, nutrient stress, or pest activity.
When the system detects an abnormal region, it automatically activates the pump to deliver pesticide precisely to the affected
spot. The entire setup is powered through a 10-watt solar panel paired with a 12-volt battery, ensuring uninterrupted
operation even in remote or off-grid locations. IoT connectivity allows users to monitor plant health, system status, and
spraying activity from a distance, improving convenience and safety. By applying chemicals only when and where needed,
the system is capable of cutting pesticide consumption by roughly 30–40%. It also lowers manual effort and reduces human
exposure to toxic substances. Overall, this approach efficient, intelligent maintaining plant health and managing pests. By
merging automation, renewable energy, and intelligent image-based detection, the system represents a forward-looking
solution for modern plant care. It not only enhances plant protection but also encourages responsible pesticide use, making
it a valuable tool for both hobbyists and small agricultural operations.
Keywords :
IoT, ESP32-CAM, Smart Agriculture, Solar-Powered System, Pesticide Sprinkling, Image & Processing, Precision Farming, Home Gardening, Greenhouse Automation, Targeted Spraying, Sustainable Agriculture.