Proposal of model for prediction of grape processing and spraying time by using IoT smart agriculture sensor data
2024, vol.16 , no.1, pp. 3-14
Article [2024-01-01]
The grape industry's impact on agriculture and the economy requires precise forecasting for processing and spraying schedules to optimize production. This article introduces an innovative IoT-based model for predicting optimal timings in grape processing and spraying. By integrating real-time environmental and viticultural data, the model improves decision-making, enhancing product quality, reducing energy consumption, and increasing operational efficiency. Crucially, SARIMA predictive algorithms forecast parameters like temperature, humidity, wind speed, and air pressure. This comprehensive model transforms the grape industry, offering advanced decision support and promoting sustainable, resource-efficient production. The research signals a potential shift to precision agriculture, balancing economic viability with environmental stewardship in grapes.
SARIMA, Internet of Things (IoT), smart agriculture sensor data, artificial intelligence, prediction
https://doi.org/10.59035/DOQN6033
Jakup Fondaj, Mentor Hamit, Samedin Krrabaj, Xhemal Zenuni, Jaumin Ajdari. Proposal of model for prediction of grape processing and spraying time by using IoT smart agriculture sensor data. International Journal on Information Technologies and Security, vol.16 , no.1, 2024, pp. 3-14. https://doi.org/10.59035/DOQN6033