Diversity of farmland management practices (FMP) and their nexus to environment: A review

Reliable task allocation for soil moisture wireless sensor networks using differential evolution adaptive elite butterfly optimization algorithm

Wireless sensor technology advancements have made soil moisture wireless sensor networks (SMWSNs) a vital component of precision agriculture. However, the humidity nodes in SMWSNs have a weak ability in information collection, storage, calculation, etc. Hence, it is essential to reasonably pursue task allocation for SMWSNs to improve the network benefits of SMWSNs. However, the task allocation of SMWSNs is an NP (Non-deterministic Polynomial)-hard issue, and its complexity becomes even higher when constraints such as limited computing capabilities and power are taken into consideration. In this paper, a novel differential evolution adaptive elite butterfly optimization algorithm (DEAEBOA) is proposed. DEAEBOA has significantly improved the task allocation efficiency of SMWSNs, effectively avoided plan stagnation, and greatly accelerated the convergence speed. In the meantime, a new adaptive operator was designed, which signally ameliorates the accuracy and performance of the algorithm. In addition, a new elite operator and differential evolution strategy are put forward to markedly enhance the global search ability, which can availably avoid local optimization. Simulation experiments were carried out by comparing DEAEBOA with the butterfly optimization algorithm (BOA), particle swarm optimization (PSO), genetic algorithm (GA), and beluga whale optimization (BWO). The simulation results show that DEAEBOA significantly improved the task allocation efficiency, and compared with BOA, PSO, GA, and BWO the network benefit rate increased by 11.86%, 5.46%, 8.98%, and 12.18% respectively.

What Is the Operation Logic of Cultivated Land Protection Policies in China? A Grounded Theory Analysis

Cultivated land protection policies (CLPP) are essential for maintaining social stability, guaranteeing food security, and ensuring sustainable development. However, a mismatch exists between policy performance and the objectives that influence the implementation of CLPP, and the system mechanisms of CLPP must be revealed and explored. Based on the literature review, this paper summarizes the current dilemmas of China’s cultivated land protection at the theoretical level, and preliminarily depicts the external foundation of CLPP in view of China’s topography and spatial distribution of cultivated land. This paper uses CLPP texts as research samples based on grounded theory to construct an analytical framework. The results show that the operation logic of the CLPP is founded on situation–structure–motivation–action–space–outcome. Accordingly, systematic analysis and in-depth understanding of the operation logic of CLPP will help to re-examine the profound relationship between policy text and implementation effect from such perspectives as transnational, trans-regional, and multi-scale. It also helps to reveal the hidden scientific value of spatiotemporal pattern for cultivated land protection, and serve the formulation and implementation of relevant policies in the future. Under the background of the new era of ecological civilization, it is urgent to enhance the operational effectiveness of the CLPP, identifying the focus of policy implementation, and scientifically formulating the CLPP is of great significance to its success.