Abstract
The research on implementing management strategies for crops that utilize the ESP32-CAM microcontroller to mitigate losses during the harvesting process. The capabilities of the ESP32-CAM in image processing and data transmission are utilized to construct a live monitoring system for agricultural fields. Using image analysis and machine learning algorithms, the system can identify the maturity of crops, the presence of pests, and the environmental conditions. It then provides practical advice to help make timely decisions about when to harvest. In addition, the ESP32-CAM serves as a tool for remote surveillance and management, enhancing the efficiency of farmers' activities and enabling the mitigation of losses during harvesting. The research highlights the integration of IoT technology with crop management techniques in contemporary precision agriculture, resulting in improved efficiency and sustainability of agricultural production.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Irish Interdisciplinary Journal of Science & Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
