Journal of Integrative Agriculture(JIA)Instruction to Authors

Description Journal of Integrative Agriculture(JIA),formerly Agricultural Sciences in China(AsC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinese Association of Agricultural Science Societies(CAAsS).JIA is a peer-reviewed and multi-disciplinary international journal and published monthly in English.

Contrastive Research on Domestic and Foreign Ecological Agriculture Policies

In the first place,the definitions of ecological agriculture defined by scholars both at home and abroad are introduced.In the second place,the domestic and foreign ecological agriculture policies are expounded.Through contrastive research on the domestic and foreign ecological agriculture polices,the problems in the development of ecological agriculture in China are found.By mirroring the western experiences in developing ecological agriculture,the countermeasures and relevant suggestions are put forward from the perspective of government.The first one is to increase the subsidies from the government to ecological agriculture.The second one is to clarify the standard of ecological agriculture construction.The third one is to promote the industrialization of ecological agriculture.The fourth one is to strengthen the construction of ecological demonstration region and ecological village.

Study on the Policies,Science and Technology Support to Impel the Development of Recreational Agriculture in Hainan

The current situation of the recreational agriculture development in Hainan was analyzed. The problems of imperfect security system,unsound policies and regulations,scant government support,low enthusiasm for developing recreational agriculture,lacking science and technology support and less special competitive products in Hainan were discussed. Through the reference of foreign countries and Taiwan Region policy support and legislative experience on recreational agriculture,it was recommended to perfect the policy system,develop the leading role of the government,enhance the legislation and supervision,pay attention to science and technology support,in order to promote the healthy sustainable development of recreational agriculture in Hainan.

Nano/Micro-Structural Supramolecular Biopolymers: Innovative Networks with the Boundless Potential in Sustainable Agriculture

Sustainable agriculture plays a crucial role in meeting the growing global demand for food while minimizing adverse environmental impacts from the overuse of synthetic pesticides and conventional fertilizers.In this context,renewable biopolymers being more sustainable offer a viable solution to improve agricultural sustainability and production.Nano/micro-structural supramolecular biopolymers are among these innovative biopolymers that are much sought after for their unique features.These biomaterials have complex hierarchical structures,great stability,adjustable mechanical strength,stimuli-responsiveness,and self-healing attributes.Functional molecules may be added to their flexible structure,for enabling novel agricultural uses.This overview scrutinizes how nano/micro-structural supramolecular biopolymers may radically alter farming practices and solve lingering problems in agricultural sector namely improve agricultural production,soil health,and resource efficiency.Controlled bioactive ingredient released from biopolymers allows the tailored administration of agrochemicals,bioactive agents,and biostimulators as they enhance nutrient absorption,moisture retention,and root growth.Nano/micro-structural supramolecular biopolymers may protect crops by appending antimicrobials and biosensing entities while their eco-friendliness supports sustainable agriculture.Despite their potential,further studies are warranted to understand and optimize their usage in agricultural domain.This effort seeks to bridge the knowledge gap by investigating their applications,challenges,and future prospects in the agricultural sector.Through experimental investigations and theoretical modeling,this overview aims to provide valuable insights into the practical implementation and optimization of supramolecular biopolymers in sustainable agriculture,ultimately contributing to the development of innovative and eco-friendly solutions to enhance agricultural productivity while minimizing environmental impact.

Smart agriculture and nanotechnology:Technology,challenges,and new perspective

In the recent past,much nanotechnology research has been done in an effort to increase agricultural productivity.The Green Revolution led to the careless use of pesticides and artificial fertilizers,which reduced soil biodiversity and led to the development of disease and insect resistance.This article highlights the worldwide development and status of precision agriculture.Precision agriculture utilizes technologies and principles to manage spatial and temporal variability in agricultural production to improve crop performance and environmental quality.In precision agriculture(PA),information technology(IT)is used to make sure that crops and soil receive exactly what they require for optimal productivity and health.Precision farming includes the use of hardware i.e.,a global positioning system(GPS)and geographic information system(GIS),different software of GIS,and traditional knowledge of agriculture management practices.The benefits of precision agriculture can be seen in both the economic and environmental aspects of agricultural production.Only nanoparticles or nanochips can transport materials to plants in a nanoparticle-mediated manner and create sophisticated biosensors for precision farming.Conventional fertilizers,insecticides,and herbicides can be nano encapsulated to provide exact doses to plants through a gradual,continuous release of nutrients and agrochemicals.The main topics included in this article are the variability of natural resources,variability management;administrative districts;the impact of precision farming technologies on farm profitability and the environment;innovations in sensors,controls,and remote sensing,information management;trends in global application and acceptance of precision farming technologies;potential and possibilities of technology along with challenges in agricultural modernization.Modern equipment and procedures based on nanotechnology have the ability to solve many of the issues in conventional agriculture and might transform this industry.There are many challenges in the implementation of smart agriculture equipment and approaches in thefield as this technique uses both hardware and software.The cost of labour for managing IoT devices and the cost-of-service registration are included in the system operational cost.Additionally,there are operating costs related to the use of energy,maintenance,and communication between IoT devices,gateways,and cloud servers.In this review,nanotechnology is explored as a potential tool in precision agriculture,as well as the advantages of nanoparticles in agriculture,such as the use of fertilizers.By using precision agriculture,the food production chain can be monitored and quality and quantity can be managed effectively.

Journal of Integrative Agriculture(JIA) Instruction to Authors

Aims and Scope Journal of Integrative Agriculture(JIA),formerly Agricultural Sciences in China(ASC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinsese Association of Agricultural Science Societies(CAAsS).The latest IF is 4.8.JIA seeks to publish those papers that are influential and will significantly advance scientific understanding in agriculture fields worldwide.

Journal of Integrative Agriculture(JIA)Instruction to Authors

Aims and Scope Journal of IntegrativeAgriculture(JIA),formerly Agricuiltural Sciences in China(ASC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinsese Association of Agricultural Science Societies(CAAsS).The latest IF is 4.8.JIA seeks to publish those papers that are influential and will significantly advance scientific understanding in agriculture fields worldwide.JIA publishes manuscripts in the categories of Commentary,Review,Research Article,Letter and Short Communication,focusing on the core subjects:Crop Science Horticulture·Plant ProtectionAnimal Science·Veterinary Medicine·Agro-ecosystem&Environment·Food Science·Agricultural Economics and Management·Agricultural Information Science.

Journal of Integrative Agriculture(JIA)Instruction to Authors

Description Journal of Integrative Agriculture(JIA),formerly Agricultural Sciences in China(ASC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinese Association of Agricultural Science Societies(CAASS).

Journal of Integrative Agriculture (JIA) Instruction to Authors

Aims and Scope Journal of Integrative Agriculture(JIA),formerly Agricultural Sciences in China(ASC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinsese Association of Agricultural Science Societies(CAAsS).The latest IF is 4.8.JiA seeks to publish those papers that are influential and will significantly advance scientific understanding in agriculture fields worldwide.

Journal of Integrative Agriculture Instruction to Authors

Description Journal of Integrative Agriculture(JIA),formerly Agricultural Sciences in China(ASC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinese Association of Agricultural Science Societies(CAASS).JIA is a peer-reviewed and multi-disciplinary international journal and published monthly in English.JIA Editorial Board consists of 289 well-respected scholars of agricultural scientific fields.

Spatio-Temporal Agricultural Drought Quantification in a Rainfed Agriculture, Athi-Galana-Sabaki River Basin

This study employs a quantitative approach to comprehensively investigate the full propagation process of agricultural drought, focusing on pigeon peas (the most grown crop in the AGS Basin) planting seasonal variations. The study modelled seasonal variabilities in the seasonal Standardized Precipitation Index (SPI) and Standardized Agricultural Drought Index (SADI). To necessitate comparison, SADI and SPI were Normalized (from −1 to 1) as they had different ranges and hence could not be compared. From the seasonal indices, the pigeon peas planting season (July to September) was singled out as the most important season to study agricultural droughts. The planting season analysis selected all years with severe conditions (2008, 2009, 2010, 2011, 2017 and 2022) for spatial analysis. Spatial analysis revealed that most areas in the upstream part of the Basin and Coastal region in the lowlands experienced severe to extreme agricultural droughts in highlighted drought years. The modelled agricultural drought results were validated using yield data from two stations in the Basin. The results show that the model performed well with a Pearson Coefficient of 0.87 and a Root Mean Square Error of 0.29. This proactive approach aims to ensure food security, especially in scenarios where the Basin anticipates significantly reduced precipitation affecting water available for agriculture, enabling policymakers, water resource managers and agricultural sector stakeholders to equitably allocate resources and mitigate the effects of droughts in the most affected areas to significantly reduce the socioeconomic drought that is amplified by agricultural drought in rainfed agriculture river basins.

Journal of Integrative Agriculture(JIA)Instruction to Authors

Description Journal of Integrative Agriculture(JIA),formerly Agricultural Sciences in China(AsC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinese Association of Agricultural Science Societies(CAASS).JIAis a peer-reviewed and multi-disciplinary international journal and published monthly in English.JIA Editorial Board consists of 289 well-respected scholars of agricultural scientific fields.

Journal of Integrative Agriculture(JIA)

Instruction to Authors Aims and Scope Journal of Integrative Agriculture(JIA),formerlyAgricultural Sciences in China(ASC),founded in 2002,is sponsored by Chinese Academy of Agricultural Sciences(CAAS),co-sponsored by Chinsese Association of Agricultural Science Societies(CAAsS).

Global sustainable agriculture and land management systems

The paper introduces a Special Issue based on presentations to the Agricultural Geography and Land Engineering(AGLE)Commission sessions of the International Geographical Union(IGU)at the IGU’s Congress in Paris in 2022.The sessions contrasted different approaches towards attaining greater sustainability in agricultural production to satisfy the need to feed the ever-increasing human population,currently expected to reach close to ten billion by 2050.After considering the multi-faceted problem of defining sustainable agriculture,this introduction systematically outlines broad strategies to attain the varied outcomes desired by agricultural systems.Presenting a contrast between ecocentric and technocentric approaches provides opportunities to synthesize recent literature addressing the pros and cons of these two broad alternatives.Recognition of the ecological and socio-cultural benefits accruing from the ecocentric has long been championed by proponents of a wide range of environmentally friendly farming systems,including organic farming,climate-smart agriculture,agroforestry,and permaculture.The technocentric lies at the heart of so-called Agriculture 4.0,in which innovations such as precision farming,digital technology,and genetic modification are applied to increase production per unit area.The potential for technology to‘solve’the world’s food crisis is supported by those who argue that ecocentric approaches alone cannot meet the rising demand for food.Yet,questions remain about the sustainability of new technology-based methods,so a strong and ongoing debate continues regarding how to attain greater sustainability alongside increasing agricultural output.This debate is exemplified in the contributions to the Special Issue outlined herewith.

Automatic Generation of Attribute-Based Access Control Policies from Natural Language Documents

In response to the challenges of generating Attribute-Based Access Control(ABAC)policies,this paper proposes a deep learning-based method to automatically generate ABAC policies from natural language documents.This method is aimed at organizations such as companies and schools that are transitioning from traditional access control models to the ABAC model.The manual retrieval and analysis involved in this transition are inefficient,prone to errors,and costly.Most organizations have high-level specifications defined for security policies that include a set of access control policies,which often exist in the form of natural language documents.Utilizing this rich source of information,our method effectively identifies and extracts the necessary attributes and rules for access control from natural language documents,thereby constructing and optimizing access control policies.This work transforms the problem of policy automation generation into two tasks:extraction of access control statements andmining of access control attributes.First,the Chat General Language Model(ChatGLM)isemployed to extract access control-related statements from a wide range of natural language documents by constructing unique prompts and leveraging the model’s In-Context Learning to contextualize the statements.Then,the Iterated Dilated-Convolutions-Conditional Random Field(ID-CNN-CRF)model is used to annotate access control attributes within these extracted statements,including subject attributes,object attributes,and action attributes,thus reassembling new access control policies.Experimental results show that our method,compared to baseline methods,achieved the highest F1 score of 0.961,confirming the model’s effectiveness and accuracy.

Security Analysis in Smart Agriculture: Insights from a Cyber-Physical System Application

Smart agriculture modifies traditional farming practices,and offers innovative approaches to boost production and sustainability by leveraging contemporary technologies.In today’s world where technology is everything,these technologies are utilized to streamline regular tasks and procedures in agriculture,one of the largest and most significant industries in every nation.This research paper stands out from existing literature on smart agriculture security by providing a comprehensive analysis and examination of security issues within smart agriculture systems.Divided into three main sections-security analysis,system architecture and design and risk assessment of Cyber-Physical Systems(CPS)applications-the study delves into various elements crucial for smart farming,such as data sources,infrastructure components,communication protocols,and the roles of different stakeholders such as farmers,agricultural scientists and researchers,technology providers,government agencies,consumers and many others.In contrast to earlier research,this work analyzes the resilience of smart agriculture systems using approaches such as threat modeling,penetration testing,and vulnerability assessments.Important discoveries highlight the concerns connected to unsecured communication protocols,possible threats from malevolent actors,and vulnerabilities in IoT devices.Furthermore,the study suggests enhancements for CPS applications,such as strong access controls,intrusion detection systems,and encryption protocols.In addition,risk assessment techniques are applied to prioritize mitigation tactics and detect potential hazards,addressing issues like data breaches,system outages,and automated farming process sabotage.The research sets itself apart even more by presenting a prototype CPS application that makes use of a digital temperature sensor.This application was first created using a Tinkercad simulator and then using actual hardware with Arduino boards.The CPS application’s defenses against potential threats and vulnerabilities are strengthened by this integrated approach,which distinguishes this research for its depth and usefulness in the field of smart agriculture security.

Irrigated Agriculture Facing the Challenge of Climate Change: Adaptation Strategies for Farmers in the Irrigated Perimeters of Môle Saint-Nicolas, Haiti

Môle Saint-Nicolas, like all other communes in the Republic of Haiti, faces increasing climate variability, impacting agricultural production and water resources. Consequently, there is a pressing need for adaptation to these climatic changes. This research aims to showcase the adaptation strategies deployed by farmers to cope with the increasing climate variability. Surveys were conducted through group and individual discussions with a randomly selected cohort of 150 farmers. Two types of analysis were performed: quantitative and qualitative. The quantitative data analysis was conducted using Statistical Package for the Social Sciences (SPSS) software. The findings reveal that farmers have perceived changes in rainfall patterns, temperature, wind, and their environment. These changes manifest as irregular rainfall, higher temperatures, prolonged drought periods, violent winds accompanied by rain, premature cessation of rains, and reduced flow from water sources. In response, the most common adaptation strategies adopted include selecting new cultivars, early-maturing varieties, crop rotation and diversification, canal dredging, new soil preparation methods, upstream water source protection, and micro-watershed management. The significance of this research lies in its contribution to enhancing farmers’ adaptive capacities by alerting stakeholders in the irrigated perimeters about the consequences of climate change, thereby incorporating the real needs of farmers in future projects.

Sorghum Productivity and Its Farming Feasibility in Dryland Agriculture:Genotypic and Planting Distance Insights

Sorghum(Sorghum bicolor L.Moench)is an essential food crop for more than 750 million people in tropical and sub-tropical dry climates of Africa,India,and Latin America.The domestic sorghum market in Indonesia is still limited to the eastern region(East Nusa Tenggara,West Nusa Tenggara,Java,and South Sulawesi).Therefore,it is crucial to carry out sorghum research on drylands.This research aimed to investigate the effect of sorghum genotype and planting distance and their interaction toward growth and sorghum’s productivity in the Gunungkidul dryland,Yogyakarta,Indonesia.In addition,the farm business analysis,including the feasibility of sorghum farming,was also examined.The research used a randomized complete block design(RCBD),arranged in a 5×4 factorial with 3 replicates.The first treatment consisted of 5 varieties(2 high-yielding varieties(Bioguma 1 and Kawali)and 3 local sorghum varieties(Plonco,Ketan Merah,and Hitam Wareng)).The second treatment consisted of 4 levels of planting distance,namely 50×20 cm,60×20 cm,70×15 cm,and 70×20×20 cm.Analysis of variance was used to analyze the data,where Duncan’s multiple range test(DMRT)was used post hoc.Plant height,panicle height,panicle width,panicle weight,stover weight,grains weight/plot,and productivity were significantly affected by sorghum varieties(p<0.05).However,there was no significant effect from the planting distance treatment and no interaction between planting distance and varietal treatments.Ketan Merah had the highest height,panicle length,and panicle width,while Bioguma 1 had the highest stover weight,panicle weight,grain weight/plot,and productivity.There was a significant linear regression equation,i.e.,productivity=0.0054–0.0003 panicle height+0.4163 grains weight/plot.Our findings on farm business analysis suggested that four out of five tested sorghum varieties were feasible to grow,except for the Ketan Merah variety.The most economically profitable sorghum variety to grow in Gunungkidul dryland was Bioguma 1.

Application of the Electrical Resistivity Method in Precision Agriculture of Coffee Cultivation, in the Kabiri Area, Ícolo e Bengo Township, Luanda, Angola

The electrical resistivity method is a geophysical tool used to characterize the subsoil and can provide an important information for precision agriculture. The lack of knowledge about agronomic properties of the soil tends to affect the agricultural coffee production system. Therefore, research related to geoelectrical properties of soil such as resistivity for characterization the region of the study for coffee cultivation purposes can improve and optimize the production. This resistivity method allows to investigate the subsurface through different techniques: 1D vertical electrical sounding and electrical imaging. The acquisition of data using these techniques permitted the creation of 2D resistivity cross section from the study area. The geoelectrical data was acquired by using a resistivity meter equipment and was processed in different softwares. The results of the geoelectrical characterization from 1D resistivity model and 2D resistivity electrical sections show that in the study area of Kabiri, there are 8 varieties of geoelectrical layers with different resistivity or conductivity. Near survey in the study area, the lowest resistivity is around 0.322 Ω·m, while the highest is about 92.1 Ω·m. These values illustrated where is possible to plant coffee for suggestion of specific fertilization plan for some area to improve the cultivation.

Understanding factors affecting non-participants’interest in community-supported agriculture

Community-supported agriculture(CSA)has emerged as a viable solution for addressing the agricultural challenges faced by countries like Indonesia.This study uses the wellestablished unified theory of acceptance and use of technology(UTAUT2)model to examine the interest in CSA of potential customers in Indonesia.A standardized questionnaire was distributed to 1200 respondents,and the data were analyzed using structural equation model-partial least square(SEM-PLS)in SmartPLS 4.0 software.The results capture potential CSA consumer interest and will help to improve CSA development strategies in Indonesia.The model explains 44.4%of customers’intentions,and identifies performance expectancy as the decisive factor in customers’willingness to participate in CSA.Performance expectancy(0.292),hedonic motivation(0.262),social influence(0.259),and facilitating conditions(0.086)positively influence customers’interest in participating in a CSA program.The adoption of CSA programs by both farmers and customers could be increased by implementing regulations that provide tax incentives and subsidies,offering training on sustainable farming practices,facilitating the establishment of distribution channels,and establishing guidelines for fair price and quality standards.This study shows the high potential for the implementation of CSA in Indonesia.It could also be used as a foundation for the development of new policies regarding sustainable agriculture markets in Indonesia.