Energy-Efficient Wireless Communication Strategy for Precision Agriculture Irrigation Control

Abstract

In smart farming, precision agriculture irrigation is essential to reduce water consumption and produce higher crop yields. Closed-loop irrigation based on soil moisture measurements has demonstrated the capability to achieve a considerable amount of water savings while growing healthy crops. Automated irrigation systems are typically implemented over wireless sensor networks, where the sensing devices are battery-powered, and thus they have to manage energy constraints by implementing efficient communication schemas. Self-triggered control is an aperiodic sampling strategy capable of reducing the number of networked messages compared to traditional periodical sampling. In this paper, we propose an energy-efficient communication strategy for closed-loop control irrigation, implemented over a wireless sensor network, where event-driven soil moisture measurements are conducted by the sensing devices only when needed. Thereby, the self-triggered algorithm estimates the occurrence of the next sampling period based on the process dynamics. The proposed strategy was evaluated in a pecan crop field and compared with periodical sampling implementations. The experimental results show that the proposed adaptive sampling rate technique decreased the number of communication messages more than 85% and reduced power consumption up to 20%, while still accomplishing the system control objectives in terms of the irrigation efficiency and water consumption.

A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation

“…Earliest Estimated Deadline First (EEDF): Given that an available mathematical model is obtained through system identification techniques [33], an approximate behavior of the real plant can be estimated. To determine which irrigation area to give the most priority, one can compute which one has the sooner deadline and define a priority ranking among the competing areas.…”

Basin Scale Soil Moisture Estimation with Grid SWAT and LESTKF Based on WSN

“…The emergence of Wireless Sensor Network (WSN) technology has opened up new opportunities for data-intensive observations in ecological and hydrological research, as well as environmental monitoring. Initially, WSNs were deployed to compensate for the lack of space observation data in models used for research on ecological and hydrological processes in watersheds [ 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. This limitation had previously hindered the accurate construction of modeling and simulation techniques [ 40 ].…”

Deep neural network based interactive fuzzy Bayesian search algorithm for low‐cost smart farming automation model

“…Nevertheless, there exists a wide scope to organize different technologies addressing the current challenges and improving efficiency. Predominantly, the feasibility of technological advancements is not harnessed completely and failed to provide a farmer‐centric solution for knowledgeable decision making to address the issues 2 . One of the most significant factors that influence the globalized marketplace is agriculture.…”

“…Predominantly, the feasibility of technological advancements is not harnessed completely and failed to provide a farmer-centric solution for knowledgeable decision making to address the issues. 2 One of the most significant factors that influence the globalized marketplace is agriculture. To accomplish the requirements of the increasing population regarding food, it is necessary to provide many technological advancements and novel innovations in the field of agriculture.…”