Since the 1980s a series of farmland policies have been implemented in China to stabilize the balance of farmland quantity and quality against accelerating urbanization and industrialization processes. This paper aims to reveal differences of soil fertility in the farmland occupation area (FOA) and farmland supplement area (FSA). In 1985-2000 the decline of the FOA area was 181,000 ha, but the ...

Travelling Salesman Problem (TSP) is a discrete hybrid optimization problem considered NP-hard. TSP aims to discover the shortest Hamilton route that visits each city precisely once and then returns starting point, making it feasible. This paper employed Farmland Fertility Algorithm (FFA) inspired by agricultural land fertility hyper-heuristic technique based on Modified Choice Function (MCF). ...

The research question for this study is estimating the public’s willingness to pay for the public goods generated by farmland, and exploring respondents’ heterogeneity in their preferences for these goods. The approach used is a choice experiment, using respondents from the city of Wuhan, China. Six attributes representing public good values (farmland area, farmland fertility, water quality, ai...

The application of optimization tools and techniques to operate the reservoir on a Multi-objective basis under the circumstances of climate change is unavoidable. The present study utilizes the Multi-Objective Farmland Fertility Optimization (MOFFA) algorithm to derive optimum rules on the operation of the Golestan Dam in Golestan province under circumstances of climate change. The two targets ...

Soil fertility is important factors for growth and productivity of vegetation. The relationship between vegetation and soil fertility deserves attention due to its scientific importance and practical applications. However, the effects of soil fertility on vegetation development and succession are poorly documented. Here we study soil fertility in Yanhe watershed at northern Shaanxi on five diff...

We propose an informative path planning (IPP) algorithm for active classification using an unmanned aerial vehicle (UAV), focusing on weed detection in precision agriculture. We model the presence of weeds on farmland using an occupancy grid and generate plans according to information-theoretic objectives, enabling the UAV to gather data efficiently. We use a combination of global viewpoint sel...