Poly House Monitoring and Controlling System with the Detection of Micro Plastics in Soil
Year: 2025
Type: article
Abstract: The burgeoning demand for food production has catapulted playhouse[1] farming to the forefront of modern agriculture, enabling year-round crop production irrespective of environmental conditions. However, this method also poses significant ecological concerns, including micro plastic contamination, which can have far-reaching and devastating consequences on ecosystems and human health. Furthermore, culminating in substantial economic losses for farmers. To address these pressing challenges, this study presents a ground-breaking IoT-based polyhouse monitoring and controlling system designed to detect micro plastics and diagnose crop diseases. The system integrates a plethora of sensors for temperature, humidity, soil moisture, and gas detection, along with an LCD screen display and Bluetooth connectivity for real-time data transmission to farmers' mobile devices. A dedicated app enables farmers to report crop issues and receive expert advice, while a Python-based software module detects micro plastics and identifies crop diseases, providing treatment recommendations. The proposed system offers a novel solution for sustainable polyhouse farming practices, empowering farmers to take prompt action against micro plastic contamination and crop diseases, thereby reducing environmental pollution and improving crop yields. The "Poly house Monitoring and Controlling System with the detection of Micro plastics in soil " is advanced solution in agriculture mimicking real-time detection of various physical and weather conditions at any location desired. The ESP8266 and Arduino as the microcontroller, the Blynk IoT platform, and the weather forecast API are integrated within the system, which regulates primary various environmental parameters such as the: temperature, humidity, gas level and light intensity within a closed acrylic chamber. Key hardware components include a microcontroller, LDR sensor, humidity level sensor, DHT11 sensor, fan, and grow lights that provide simulations for different climatic conditions. The system is designed to assist in agricultural research, environmental studies, and even materials testing with a cost-effective, compact, and reliable solution. The project also incorporates real-time data analytics, decision-support mechanisms, detection of micro plastics in soil as organic soil is used in polyhouse but using of different mulching techniques some amount of micro plastic is present in soil, cloud-based databases in polyhouse management, improving productivity through mobiles.
Author: Ritika Srivastava
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409181983