A5080871383- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Transboundary Water Resource Management
- Rangeland Management and Livestock Ecology
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Agricultural Systems and Practices
- Rice Cultivation and Yield Improvement
- Climate change impacts on agriculture
- Evolutionary Algorithms and Applications
- Genetic Mapping and Diversity in Plants and Animals
- Animal Diversity and Health Studies
- Hydrology and Drought Analysis
- Parvovirus B19 Infection Studies
- Insect Resistance and Genetics
- GABA and Rice Research
- Soil and Land Suitability Analysis
- Virus-based gene therapy research
- Environmental and Agricultural Sciences
- Engineering and Agricultural Innovations
- Animal Virus Infections Studies
- Marine Bivalve and Aquaculture Studies
- Insect-Plant Interactions and Control
- Insect Pest Control Strategies
Chinese Academy of Agricultural Sciences
2013-2023
Institute of Agricultural Resources and Regional Planning
2018-2023
Leibniz Institute of Agricultural Development in Transition Economies
2021-2023
Ministry of Agriculture and Rural Affairs
2020-2022
Zhejiang University
2019
State Key Laboratory of Remote Sensing Science
2018
Lanzhou Veterinary Research Institute
2013
Abstract. Information on global cropland distribution and agricultural production is critical for the world's monitoring food security. We present datasets of extent in a two-paper series cultivated planet 2010. In first part, we propose new Self-adapting Statistics Allocation Model (SASAM) to develop map distribution. SASAM based fusion multiple existing maps multilevel statistics area, which independent training samples. First, area are used rank input maps, then scoring table built...
Artificial Intelligence (AI) is revolutionizing the pharmaceutical industry by significantly enhancing various stages of drug development, from target identification and lead compound discovery to clinical trial optimization. Generative Adversarial Networks (GANs) have emerged as a particularly powerful AI technique, capable rapidly generating novel molecular structures with high therapeutic potential. This paper discusses integration into highlighting mathematical framework underlying GANs,...
Chlorantraniliprole, an anthranilic diamide insecticide, is widely used for controlling lepidopteran pests, because of its high insecticidal activity. However, overuse chlorantraniliprole has led to the selection resistance in many insect including Chilo suppressalis (Lepidoptera:Crambidae), one most damaging rice pests China. In this study, levels C. was surveyed from eight populations three provinces The were ranged 34.4-fold 284.0-fold compared with a susceptible population. Then, 15402...
Accurate geo-information of cropland is critical for food security strategy development and grain production management, especially in Africa continent where most countries are food-insecure. Over the past decades, a series African maps have been derived from remotely-sensed data, existing comparison studies shown that inconsistencies with statistics discrepancies among these products considerable. Yet, there knowledge gap about factors influence their consistency. The aim this study thus to...
Canine parvovirus causes serious disease in dogs. Study of the genetic variation emerging CPV strains is important for control strategy. The antigenic property connected with specific amino acid changes, mainly capsid protein VP2. This study was carried out to characterize VP2 gene viruses from two provinces China 2011. complete genes CPV-positive samples were amplified and sequenced. Genetic analysis based on conducted. All isolates screened sequenced this typed as CPV-2a except GS-K11...
Information on crop spatial distribution is essential for agricultural monitoring and food security. Classification with remote-sensing time series images an effective way to obtain maps across space. Optimal features are the precondition classification critical accuracy of maps. Although several approaches available extracting spectral, temporal, phenological identification, these methods depend heavily domain knowledge human experiences, adding uncertainty final classification. This study...
Abstract Crop-aquaculture systems are widely adopted around the world as they can provide high protein and energy outputs per unit of land raise farm incomes, particularly for smallholder farmers. Recently, a new crop-aquaculture system, which combines rice production with crawfish breeding (integrated rice-crawfish farming), has emerged rapidly expanded in China. However, spatial extent temporal dynamics this integrated farming system largely remain unclear, prohibits rigorous impact...
Abstract Water withdrawals for irrigated crop production constitute the largest source of freshwater consumption on Earth. Monitoring dynamics cultivation is crucial tracking water consumption, particularly in water-scarce areas. We analyzed changes water-dependent 650 000 km 2 Central Asian drylands, including entire basin Amu Darya river, once tributary to Aral Sea before large-scale irrigation projects grossly reduced amount reaching river delta. used Landsat time series map overall...
Cropland maps at regional or global scales typically have large uncertainty and are also inconsistent with each other. The substantial in these cropland limits their use research management efforts. Many synergy approaches been developed to generate hybrid higher accuracy from existing maps. However, few studies compared the advantages, disadvantages, suitability of approaches. To close this knowledge gap, study aims compare two representative methods mapping: Geographically weighted...
Abstract. The food security, particularly in Africa, is a challenge to be resolved. cropland area and spatial distribution obtained from remote sensing imagery are vital information. In this paper, according location, we compare five global datasets including CCI Land Cover, GlobCover, MODIS Collection 5, GlobeLand30 Unified Cropland circa 2010 of Africa terms location. accuracy calculated was analyzed compared with statistic data. Based on validation samples, the accuracies location for...
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Abstract. Information on global cropland distribution and agricultural production is critical for the world’s monitoring food security. We present datasets of extent in two-paper series a cultivated planet 2010. In first part, we propose new self-adapting statistics allocation model (SASAM) to develop map distribution. SASAM based fusion multiple existing maps multilevel area, which independent training samples. First, area are used rank input maps, then scoring table built indicate...
<p>Water withdrawals for irrigated crop production constitute the largest global consumer of blue water resources. Monitoring dynamics cultivation allows to track changes in consumption cropping, which is particularly paramount water-scarce arid and semi-arid areas. We analyzed along with occurrence hydrological droughts Amu Darya river basin Central Asia (534,700 km<sup>2</sup>), once tributary Aral Sea before large-scale irrigation projects have...