Year: 2025
Type: article
Abstract: – Farmers face several key issues in Arecanut farming during irrigation, to prevent stress caused by excess or shortage of water which in turn affects the yield and its quality. This main purpose of this paperis to solve these issues with technology. This paper develops and implements a very effective solution which also aims to reduce costs through IoT based system to monitor and maintain moisture levels in soil during cultivation. This system makes utilize of a network of sensors which are deployed across the entire field of cultivation which assists the farmers to make perfect decisions on irrigation, to prevent water stress and optimize water usage to improve plant health and yield of Arecanut. This smart watering system assures timely watering by relying on real-time soil conditions quite than guessing. Automating water supply reduces waste and supports sustainable farming practices. Finally, the strategy enables farmers to increase output while lowering input expenditures. Key Words: DeepLearning, ML, Moisture Sensor.
DOI: 10.55041/ijsrem52324
Authors: Prashant Ankalkoti, Vaishnavi H G
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4413868509