Agricultural Improvement Research Articles

How does the improvement of farmers' financial literacy affect food production? Analysis of behavior and constraints based on element substitution and planting structure adjustment

How does the improvement of farmers' financial literacy affect food production? Analysis of behavior and constraints based on element substitution and planting structure adjustment

Climate change and crop production nexus: assessing the role of technological development for sustainable agriculture in Vietnam

PurposeThis study aims to examine the effects of climate change and agricultural technologies on crop production in Vietnam for the period 1990–2018.Design/methodology/approachSeveral econometric techniques – such as the augmented Dickey–Fuller, Phillips–Perron, the autoregressive distributed lag (ARDL) bounds test, variance decomposition method (VDM) and impulse response function (IRF) are used for the empirical analysis.FindingsThe results of the ARDL bounds test confirm the significant dynamic relationship among the variables under consideration, with a significance level of 1%. The primary findings indicate that the average annual temperature exerts a negative influence on crop yield, both in the short term and in the long term. The utilization of fertilizer has been found to augment crop productivity, whereas the application of pesticides has demonstrated the potential to raise crop production in the short term. Moreover, both the expansion of cultivated land and the utilization of energy resources have played significant roles in enhancing agricultural output across both in the short term and in the long term. Furthermore, the robustness outcomes also validate the statistical importance of the factors examined in the context of Vietnam.Research limitations/implicationsThis study provides persuasive evidence for policymakers to emphasize advancements in intensive agriculture as a means to mitigate the impacts of climate change. In the research, the authors use average annual temperature as a surrogate measure for climate change, while using fertilizer and pesticide usage as surrogate indicators for agricultural technologies. Future research can concentrate on the impact of ICT, climate change (specifically pertaining to maximum temperature, minimum temperature and precipitation), and agricultural technological improvements that have an impact on cereal production.Originality/valueTo the best of the authors’ knowledge, this study is the first to examine how climate change and technology effect crop output in Vietnam from 1990 to 2018. Various econometrics tools, such as ARDL modeling, VDM and IRF, are used for estimation.

Interlaboratory validation and one-year retrospective review of hemp and marijuana decision-point assays

After the passage of the Agriculture Improvement Act of 2018 (Farm Bill) that defined hemp as Cannabis sativa L. if it contained ≤0.3 % Δ9-THC on a dry weight basis, forensic laboratories were faced with the challenge of distinguishing marijuana from hemp in seized drug samples. This study reports the results of an interlaboratory validation of a previously developed qualitative decision-point assay for the differentiation of illegal marijuana from legal hemp, utilizing gas chromatography-mass spectrometry (GC–MS) with a 1 % Δ9-THC threshold. The method was validated in terms of selectivity, linearity, carryover, precision, accuracy, extract stability, dilution integrity, and measurement uncertainty. Other elements such as decarboxylation rate and potential for CBD interference were also evaluated. Specificity and positive predictive value were both 100 % using known cannabis reference materials. A total of 8 false negative results were observed among the 280 analyses, resulting in an overall assay sensitivity of 94 % and a negative predictive value of 95 %. The small number of false negative results near the 1 % threshold were attributed to decarboxylation inefficiency in some laboratories. While qualitative in nature, the measurement uncertainty of the assay at the 0.3 % Δ9-THC cutoff (legal threshold) using a 95.45 % confidence interval (k = 2) ranged from 12.2 % to 21.8 % among laboratories (equivalent to 0.3 % ± 0.04 % to 0.07 % Δ9-THC by weight). A one-year retrospective study across three agencies and fifteen laboratories was undertaken. Among the three agencies participating in the original study, 93–96 % of all suspected cannabis seizures yielded results above the administrative threshold of 1 % Δ9-THC (n = 3,288). The interlaboratory method development highlighted differences in performance between sites, ultimately improving the overall robustness of the method. Observations highlight the need for site-specific validation and vigilance. While multi-agency collaborations and interlaboratory validations are valuable, they do not replace the necessity for full, independent, and rigorous validation.

Collaboration in agricultural value chains: a scoping review of the evidence from developing countries

PurposeCollaboration in agricultural value chains (AVCs) has the potential to increase smallholders’ participation in international value chains and increase their benefits from participation. This scoping review explores existing collaboration models among stakeholders of AVCs in developing countries, examines enablers and constraints of collaboration and identifies policy gaps.Design/methodology/approachWe systematically searched three databases, CAB Abstracts, Econlit (EBSCO) and Agricola, for studies published between 2005 and 2023 and included 59 relevant studies on AVC collaboration.FindingsThe primary motivations for collaboration are to enhance market access and improve product quality. Key outcomes of collaboration include improvements in farmers’ welfare, market participation and increased production; only a few studies consider improved risk management as an important outcome. Robust support from government and non-governmental entities is a primary enabler of collaboration. Conversely, conflicts of interest among stakeholders and resource limitations constrain collaboration possibilities. Collaboration involving high-value crops prioritizes income increases, whereas collaboration involving staple crops focuses on improving household food security.Research limitations/implicationsThis study may have publication bias as unsuccessful instances of collaboration are less likely to be published.Originality/valueThis study is unique in highlighting collaboration models’ characteristics and identifying AVC policy and programmatic areas where private firms, farmers’ groups, local governments and donor agencies can contribute.

Critical Analysis of Group Dynamics Effectiveness of Farmer Producer Organisations (FPOs) Members in Assam, India

Farmer Producer Organisation (FPO) is a legal entity formed by farmers with a major role in integrating both forward and backward linkages in the agricultural sector for enhancing farmers' income and their livelihoods through reduced cultivation and transaction costs. The present study to analyse the effectiveness of group dynamics of FPOs members was conducted in Lower Brahmaputra Valley Zone (LBVZ) of Assam. In doing so, it utilized the descriptive research design following an ex-post-facto approach to fulfil the objectives of the study and to collect the cross-sectional data from 120 FPO member respondents through personal interview method during 2022. The study reveals that majority of the FPO members had a medium level of group dynamics effectiveness in all selected 12 indicators. The study also shows that among the identified 12 indicators to measure group dynamic effectiveness (GDE) of FPOs, group atmosphere was found with the highest mean value closely followed by teamwork, participation and group cohesiveness. The other indicators in order of importance based on their corresponding mean values were achievement of FPOs, confirmation to group norms, task function, decision making procedure, interpersonal trust, empathy and group communication. As many as 70 per cent members of FPOs in study areas had reported medium level of achievement of FPO, still there is huge scope for their further improvement and achievement in agriculture and allied activities and thereby enhance their income on sustainable basis. The study further reveals that Manikpur Joha Rice Producer Company Ltd. of Chirang district had the highest total GDEI score of 91.027. While Aya Baikho FPO Co-operative Society Ltd. of Goalpara district had the lowest GDEI score of 60.441.

Research on the effect of e-commerce adoption in improving farmers' income and welfare in the context of digital economy

In the era of digital economy, e-commerce, as an important economic model with the characteristics of the times, has a profound impact on the development of rural economy, and e-commerce of agricultural products has become a new driving force to promote agricultural industrialization, digitalization and increase farmers' income. Considering the sample selection bias and endogeneity, this paper uses multiple regression model to benchmark and two-stage regression to measure the effect of e-commerce participation on the improvement of farmers' business performance, and finds that the adoption of e-commerce of agricultural products is helpful to increase agricultural income, but it is not as significant as the impact of land area, and even less than the factors affecting income such as labor force and brand building. However, the positive impact of the adoption of e-commerce of agricultural products on farmers' income will increase with the deepening of their e-commerce adoption, especially in the later stage, and the network scale effect will be gradually released.

On Local Structure Equilibration of Ca2+ in Solution by Ab Initio Molecular Dynamics.

Analyzing the stable isotopic ratio of Ca offers valuable insights into a wide range of applications from climate reconstruction to bone cancer diagnosis and agricultural nutrient improvement. While the first hydration shell of Ca in solution is expected to play a major role in its fractionation properties, the coordination of Ca in water remains a subject of debate. In this work, Ca2+ in water has been modeled by means of ab initio molecular dynamics simulations using various exchange and correlation functionals and at different temperatures. Results show a significant effect of the functional on the average Ca2+ coordination, depending on its tendency to over- or understructure liquid water. The BLYP functional with Grimme-D2 correction was judged as the most accurate among those tested based on its accuracy to reproduce water structural and diffusion properties. Using this functional, the effect of temperature has been systematically investigated, focusing on means to limit the uncertainty in our assessments of the average coordination of Ca2+ ions by (1) estimating the number of water exchanges in the simulations and (2) implementing a statistical approach based on Markov chains. The findings indicate, especially, that our simulations at 300, 350, and 400 K do not yield converged results due to potential equilibration problems. These observations impose substantial constraints on the trustworthiness of numerous estimates in the existing literature that depend on trajectories with insufficient exchanges. We estimate Ca2+ coordination values of 6.8 ± 0.1, 6.8 ± 0.1, 6.7 ± 0.2, and 6.7 ± 0.2 at 600, 550, 500, and 450 K respectively. At lower temperatures (300, 350, and 400 K), while obtaining definitive values for Ca2+ coordination remains challenging, our research does indicate a potential temperature-related influence on coordination with an average Ca2+ coordination at 300 K as low as 6.2.

Insights into the germplasm conservation and utilization: Implications for sustainable agriculture and future crop improvement

Plant genetic resources are critical for maintaining global biodiversity and ensuring food security. However, these resources face threats from factors such as habitat loss and climate change, with approximately 22% of plant species estimated to be at risk of extinction. To address this issue, both natural and biotechnological methods are being developed to preserve plant genetic resources, with germplasm being a key component. Germplasm contains the complete genetic information of a plant and can be stored for extended periods and replicated as required. The objective of this study is to emphasize the importance of preserving germplasm of endangered or near-extinct plant species through in situ and ex situ conservation methods. In situ conservation involves conserving species in their natural environment, while ex situ conservation includes using gene-seed banks and tissue culture to store genetic resources. These methods are crucial for maintaining genetic diversity and preventing the loss of valuable plant resources. The study highlights the various ex situ conservation methods, including cryopreservation, pollen and DNA banks, farmer's fields, botanic gardens, genetic reserves, and slow-growing cultures, which are essential for preserving germplasm. Gene banks worldwide currently hold over 7.4 million accessions of crop genetic resources, demonstrating the value of germplasm conservation efforts. Additionally, understanding the phenotypic and genetic characterization of related species is crucial for identifying endangered or vulnerable species that can diversify into new varieties or subspecies. In conclusion, prioritizing germplasm conservation efforts is crucial for meeting future demands while preserving endangered or vulnerable species. This will ensure that plant genetic resources remain available for future generations and that agricultural innovation can effectively address global food security challenges.

The nexus between firm-specific agriculture research and development and agriculture total factor productivity: new evidence from China

ABSTRACT This study investigates the relationship between firm-specific agriculture research and development (ARD) and agriculture total factor productivity (ATFP) in China using autoregressive distributed lag (ARDL) techniques. The results show cointegration and bidirectional causal relationship between ATFP and ARD. ARD plays a significant role in promoting ATFP, and ATFP also impacts the level of ARD in China. These findings are positive for China’s agriculture improvement efforts. Additionally, the inclusion of control variables strengthens the ATFP-ARD relationship.

Development and Validation of a GC-FID Method for the Quantitation of Δ 8-Tetrahydrocannabinol and Impurities Found in Synthetic Δ 8-Tetrahydrocannabinol and Vaping Products.

Concerns about health hazards associated with the consumption of trans-delta-8-tetrahydrocannabinol products were highlighted in public health advisories from the U. S. Food and Drug Administration and U. S. Centers for Disease Control and Prevention. Simple and rapid quantitative methods to determine trans-delta-8-tetrahydrocannabinol impurities are vital to analyze such products. In this study, a gas chromatography-flame ionization detection method was developed and validated for the determination of delta-8-tetrahydrocannabinol and some of its impurities (recently published) found in synthesized trans-delta-8-tetrahydrocannabinol raw material and included olivetol, cannabicitran, Δ 8-cis-iso-tetrahydrocannabinol, Δ 4-iso-tetrahydrocannabinol, iso-tetrahydrocannabifuran, cannabidiol, Δ 4,8-iso-tetrahydrocannabinol, Δ 8-iso-tetrahydrocannabinol, 4,8-epoxy-iso-tetrahydrocannabinol, trans-Δ 9-tetrahydrocannabinol, 8-hydroxy-iso-THC, 9α-hydroxyhexahydrocannabinol, and 9β-hydroxyhexahydrocannabinol. Validation of the method was assessed according to the International Council for Harmonization guidelines and confirmed linearity with R2 ≥ 0.99 for all the target analytes. The limit of detection and limit of quantitation were 1.5 and 5 µg/mL, respectively, except for olivetol, which had a limit of detection of 3 µg/mL and a limit of quantitation of 10 µg/mL. Method precision was calculated as % relative standard deviation and the values were less than 8.4 and 9.9% for the intraday precision and inter-day precision, respectively. The accuracy ranged from 85 to 118%. The method was then applied to the analysis of 21 commercially marketed vaping products claiming to contain delta-8-tetrahydrocannabinol. The products analyzed by this method have various levels of these impurities, with all products far exceeding the 0.3% of trans-Δ 9-tetrahydrocannabinol limit for hemp under the Agriculture Improvement Act of 2018. The developed gas chromatography-flame ionization detection method can be an important tool for monitoring delta-8-tetrahydrocannabinol impurities in commercial products.

Successive national agricultural policies/programmes, growth of gross domestic product (GDP) and expansion of agribusinesses in Nigeria.

In Sub Saharan Africa, agriculture's contribution to employment and Gross Domestic Product (GDP) is estimated to be higher than other sectors. Policies designed and implemented for the agricultural sector could be an influencing factor to the variations in the contributions of agriculture to the annual national GDP. These policies are believed to have shaped and (some) still shaping the landscape of agriculture and national economy. The study analysed agriculture's GDP contribution during the implementation of various national agricultural policies, and the potential of the policies to foster agrobusiness development in Nigeria between 2000 and 2021. The study adopted mixed-method approach. Primary data were collected through a structured questionnaire administered on 29 purposively sampled state Agricultural Development Programme (ADP) directors across Nigeria. The questionnaire was face-validated by three experts. Reliability test was carryout using Cronbach Alpha approach, which yielded an index of 0.89. Copies of the questionnaire were administered on the respondents through direct contact. Secondary data were collected from the Nigeria's Federal Ministry of Agriculture and Rural Development, National Bureau of Statistics, and World Bank. Data was analysed with mean, standard deviation, percentages and ANOVA. Findings of the study revealed that the performance of implemented agricultural policies had influence on agricultural sector's percentage contribution to national GDP, and changes in agriculture's GDP contribution had significant impact on national GDP growth. The duration of active life of the policies did not influence their performance, like the Root and Tuber Expansion Programme which lasted longer yet performed less than the National Special Programme on Food Security in terms of improvement in agriculture's GDP contributions. All the policies implemented had several limitations in their ability to foster agribusinesses in Nigeria. The study recommends that future policies should focus on providing sustainable frameworks for developing the business in agriculture through value chain optimisation and the use of the teeming, young, and affordable labour force like China and India did to become global food producers.

Compliance Testing of Hemp (Cannabis sativa L.) Cultivars for Total Delta-9 THC and Total CBD Using Gas Chromatography with Flame Ionization Detection.

The United States Agriculture Improvement Act passed in December of 2018 legalized the growing of Cannabis sativa containing not more than 0.3% total Delta-9 tetrahydrocannabinol (THC) in the country. While Cannabis sativa has been cultivated for hundreds of years, the illegal status of the plant in the United States, and elsewhere, has hindered the development of plant cultivars that meet this legal definition. To assess sampling strategies, and conformance to the THC limit, 14 cultivars of hemp were grown and tested by using gas chromatography with flame ionization detection for total delta-9 THC and total cannabidiol (CBD) during 2020, 2021 and 2022. Each year, samples of fresh plant material were collected from each cultivar weekly, beginning in mid-August and ending in late October, to examine the rate of increase in THC and CBD for different cultivars and select individual plants. The sampling demonstrated that both CBD and THC increase rapidly over a 1-2-week time frame with maximum concentrations (about 16% and 0.6%, respectively) around late September to early October. The testing of individual plants on the same day for select cultivars showed that while the ratio of CBD to THC remains constant (about 20:1 in compliant hemp) during the growing season, the individual plants are highly variable in concentration. Whereas previous studies have shown cultivar-dependent variability in THC production, this study demonstrated a novel plant-to-plant variability in the levels of THC within the same hemp cultivar. Understanding variability within and between hemp cultivars is useful to determine field sampling strategies and to assess the risk of crop embargoes to growers by compliance regulators.

Examining the drivers of CO2 Emission: Evidence from Indonesia

CO2 emissions are a significant risk and threat not only to the economy, environment, and agriculture but also to public health. In this study, we examine empirical evidence of the impact of economic growth, renewable energy use, and agricultural sector improvement on reducing CO2 emissions and environmental degradation in Indonesia based on the Environmental Kuznets Curve (EKC) hypothesis. This study uses annual time series data from 1988 to 2020 by applying Dynamic Least Squares (DOLS) and Fully-Modified Least Squares (FMOLS) econometric estimation techniques. Based on empirical evidence, the EKC phenomenon in Indonesia cannot be validated and justified because it correlates with increasing economic growth rates as well as increasing CO2 emissions. In addition, technological innovation and renewable energy applied to Indonesia’s more modern agricultural sector have a significant impact on reducing carbon emissions and improving environmental quality. Furthermore, the consumption of renewable energy in Indonesia is limited to the manufacturing and service sectors, which means it does not contribute to carbon emissions.

Development of green and low-carbon agriculture through grain production agglomeration and agricultural environmental efficiency improvement in China

Grain production agglomeration (GPA) is the development trend of grain production all over the world, and it is also an important way to promote grain growth and low-carbon development of agriculture. However, in-depth research on whether the GPA can increase the agricultural environmental efficiency and the influencing mechanisms is still lacking. Based on China's provincial data from 1990 to 2019 and the superefficiency DEA model, this study measures the level of GPA and the environmental efficiency of grain production (EEGP) in different grain production functional areas of China. An econometric methods are also used to empirically analyse the impact GPA on the EEGP. The results shows that the level of GPA in China is steadily increasing, and the impact of GPA on EEGP follows a U-shaped trend of initially declining and then rising. China's GPA has exceeded the minimum value of the U-shaped curve and is currently in the stage of promoting the EEGP. Specifically, the level of GPA in China's main grain-producing areas is higher than that in main grain-marketing areas and grain production-marketing balanced areas, and the GPA in main grain-marketing areas and grain production-marketing balanced areas have not yet crossed minimum value of the U-shaped curve. The GPA affects EEGP through farmland scale management and agricultural technology spillover. This study offers a new perspective to explain the changes in China's EEGP, and also provides reference for the EEGP in different regions of the world.

Research on the Impact of Digital Inclusive Finance on the New Rural Collective Economy based on Empirical Evidence from Sichuan Province

This article takes Sichuan Province as the research object and explores the impact of digital inclusive finance on the new rural collective economy. Firstly, the concept, characteristics, and development forms of digital inclusive finance and the new rural collective economy were elaborated, revealing the relationship between the two. Secondly, the current development status of digital inclusive finance in Sichuan Province was analyzed, including the current situation of rural financial services, the promotion and application of digital inclusive finance in Sichuan Province, as well as the problems and challenges faced in its development. Subsequently, the impact mechanism of digital inclusive finance on the new rural collective economy was elaborated from the aspects of financial resource allocation, rural industrial structure adjustment, improvement of farmers' income, and construction of rural credit system. Finally, in response to the impact of the development of digital inclusive finance in Sichuan Province on the new rural collective economy, policy recommendations were proposed to strengthen digital infrastructure construction and network coverage, formulate policy measures to support the development of digital inclusive finance, and enhance farmers' awareness and acceptance of digital financial services. The research results indicate that digital inclusive finance has a positive impact on the development of the new rural collective economy, providing useful reference for the development of rural economy in China.

Early stage black pepper leaf disease prediction based on transfer learning using ConvNets

Plants get exposed to diseases, insects and fungus. This causes heavy damages to crop resulting in various leaves diseases. Leaf diseases can be diagnosed at an early stage with the aid of a smart computer vision system and timely disease prevention can be targeted. Black pepper is a medicinal plant that is extensively used in Ayurvedic medicine because of its therapeutic properties. The proposed work represents an intelligent transfer learning technique through state-of-the-art deep learning implementation using convolutional neural network to predict the presence of prominent diseases in black pepper leaves. The ImageNet dataset available online is used for training deep neural network. Later, this trained network is utilized for the prediction of the newly developed black pepper leaf image dataset. The developed data set consist of real time leaf images, which are candidly taken from the fields and annotated under supervision of an expert. The leaf diseases considered are anthracnose, slow wilt, early stage phytophthora, phytophthora and yellowing. The hyperparameters chosen for tuning in to deep learning models are initial learning rates, optimization algorithm, image batches, epochs, validation and training data, etc. The accuracy obtained with 0.001 learning rate ranges from 99.1 to 99.7% for the Inception V3, GoogleNet, SqueezeNet and Resnet18 models. Proposed Resnet18 model outperforms all model with 99.67% accuracy. The resulting validation accuracy obtained using these models is high and the validation loss is low. This work represents improvement in agriculture and a cutting edge deep neural network method for early stage leaf disease identification and prediction. This is an approach using a deep learning network to predict early stage black pepper leaf diseases.

Celebrating Professor Rajeev K. Varshney's transformative research odyssey from genomics to the field on his induction as Fellow of the Royal Society.

Professor Rajeev K. Varshney's transformative impact on crop genomics, genetics, and agriculture is the result of his passion, dedication, and unyielding commitment to harnessing the potential of genomics to address the most pressing challenges faced by the global agricultural community. Starting from a small town in India and reaching the global stage, Professor Varshney's academic and professional trajectory has inspired many scientists active in research today. His ground-breaking work, especially his effort to list orphan tropical crops to genomic resource-rich entities, has been transformative. Beyond his scientific achievements, Professor Varshney is recognized by his colleagues as an exemplary mentor, fostering the growth of future researchers, building institutional capacity, and strengthening scientific capability. His focus on translational genomics and strengthening seed system in developing countries for the improvement of agriculture has made a tangible impact on farmers' lives. His skills have been best utilized in roles at leading research centres where he has applied his expertise to deliver a new vision for crop improvement. These efforts have now been recognized by the Royal Society with the award of the Fellowship (FRS). As we mark this significant milestone in his career, we not only celebrate Professor Varshney's accomplishments but also his wider contributions that continue to transform the agriculturallandscape.

Assessment of nano silicon fertilizer effects on soil nutrients, enzyme activities, and microbial communities

Nano silicon fertilizer can provide new guidance in agricultural production and soil improvement by improving nutrients, enzyme activities and microbial diversity of soil.

Japan’s agricultural policy towards food security improvement. Key strategies, initiatives and outcomes

Food security in Japan has been under observation of analytics in both Japan and abroad as it is one of the key national security issues. Leading academic researchers of this issue in Japan include Suzuki N., Takeya T., Yamamoto R. and Oguchi H. However, the main focus of their analysis is the social aspect. The English language literature provides more materials on food security problem, but the situation is changing faster than information flows across the border. It means that the most up-to-date resources for analysis of the topic are the documents of the Japanese official institutions. Based on the Global Food Security Index (which takes into account the issues of food affordability, availability, quality and natural resources resilience), Japan is considered to be 6th most self-sufficient country in the world. However, the Japanese government still sees the national food security issue as problematic for the country’s stability due to heavy dependency on agricultural import. To overcome the trend, Japan utilizes multiple mechanisms to eventually improve agricultural self-sufficiency. The main focus is kept on the following 4 critical levers – i) productivity improvement, ii) agricultural employment improvement, iii) demand shift towards traditional dietary and new markets opening and iv) SDG agenda. The research also provides a case study of technologies implemented in the agricultural field in Japan in order to improve the self-sufficiency level. Moreover, emphasis is made on the government policies to develop the local market and to build the new markets abroad for the domestic farmers’ production expansion.

The impact of high-temperature treatments on maize growth parameters and soil nutrients: A comprehensive evaluation through principal component analysis.

In contrast to prolonged exposure to high temperatures, investigating short-term high-temperature stress can provide insights into the impact of varying heat stress durations on plant development and soil nutrient dynamics, which is crucial for advancing ecological agriculture. In this study, five heating temperatures were set at 200°C, 250°C, 300°C, 350°C, and 400°C, along with five heating time gradients of 6s, 10s, 14s, 18s, and 20s, including a control. A total of 26 treatment groups were analyzed, focusing on maize growth parameters and soil indicators. Principal component analysis was used for comprehensive evaluation. The results showed that high-temperature treatments with different heating times significantly influenced maize growth and soil properties. For instance, the treatment of 300°C+6s resulted in the longest total root length, while 200°C+6s led to the highest average root diameter. Plant height and leaf length were notably increased with the treatment of 400°C+6s. Most treatments resulted in decreased soil pH and organic matter content. Notably, the treatment of 350°C+16s showed the highest available phosphorus content, reaching 24.0 mg/kg, an increase of 4.5 mg/kg compared to the control. The study found that the average levels of active organic carbon and peroxidase were 1.26 mg/g and 3.91 mg/g, respectively. Additionally, the average mass fractions of clay, silt, and sand particles were 8.99%, 66.75%, and 24.26%, respectively. Through principal component analysis, six principal components were able to extract 19 indicators from the 26 treatments, covering 86.129% of the information. It was observed that 16 treatment methods performed better than the control in terms of soil comprehensive quality. The optimal treatment temperature and time identified for improving soil physicochemical properties and crop growth were 300°C+6s. These findings can be used to guide agricultural management and soil improvement practices, ultimately enhancing field productivity and providing valuable insights for sustainable agricultural development.