Journal of Sustainable Technology in Agriculture

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Open Access Peer-reviewed OpenAIRE indexed Zenodo archived Crossref Crossref DOI Open Access Peer-reviewed OpenAIRE indexed Zenodo archived Crossref Crossref DOI

Recent articles

Open Access License Open Source DOI

  • Designs for sensory experiments and product optimisation: A comprehensive review

    • Review-Article
    • Statistics
    • PostHarvest
    • Food
    Gaatha Prasad, Manju Mary Paul*, Pratheesh P Gopinath, Krishnasree V, Gopika Somanath

    Research in the fields of postharvest technology and food and nutrition are rapidly advancing with sensory experiments playing a major role in assessing consumer preference.Read more …

  • Reliability and Validity in Agricultural Research: A Shiny App for Non-statisticians

    • Original-Article
    • Data-Science
    • Software
    Varsha H, Pratheesh P Gopinath*

    Survey research is essential for understanding attitudes, behaviours, and perceptions across diverse populations, providing the foundation for data-driven decisions and empirical analysis. Researchers often face difficulties in assessing the validity and reliability of survey instruments due to complex statistical procedures, limited access to integrated tools, and the need for multiple software platforms. Read more …

  • Dairy SHGs in Kerala: Economics and Loan Repayment Drivers

    • Original-Article
    • Economics
    • Policy
    Denny Franco*, Anil Chauhan, Balwant S Chandel, Ravinder Malhotra, K. Ponnusamy, Ashadevi S S

    Microfinance activities play a vital role among the poor to raise their microenterprises especially in the primary agricultural sector of rural India and helped the marginalized people to elude from poverty. This paper detailed the economic performance of dairy-based SHGs and discuss the factors that influence the repayment performance of the SHGs in Kerala. Read more …

  • Genetic Variability and Diversity Analysis in Sesame (Sesamum indicum L.)

    • Original-Article
    • Plant-Science
    • Crops
    • Genetics
    Gayathri G *, Dijee Bastian

    Sesame (Sesamum indicum L.) is an ancient oilseed crop of significant nutritional and economic value, but its productivity remains suboptimal due to limited genetic improvement. This study assessed genetic variability, correlation patterns, and genetic divergence among 40 sesame genotypes to identify superior parents for breeding programs. Read more …

  • Biochar for Enhancing Yield, Nutrient Uptake, and Soil Fertility in Okra

    • Original-Article
    • Plant-Science
    • Crops
    • Agronomy
    Krishna Vikram, Atul Jayapal*, Shalini Pillai, Sheeba Rebecca Isaac, Mini V

    The beneficial role of biochar in improving soil fertility is well known, but the optimal application rate in sandy loam soils remains unclear. To address this gap, a field experiment was conducted in 2023 on the coastal sandy loam soils of Kayamkulam, Kerala, to assess the impact of different biochar rates on okra yield, nutrient uptake, and soil fertility. The study followed a randomized block design with nine treatments: various combinations of biochar (5 and 10 t ha\(^{-1}\)), farmyard manure (5 and 20 t ha\(^{-1}\)), and two nutrient levels (75% and 100% RDF). Results revealed that the application of biochar at 10 t ha\(^{-1}\) along with the recommended nutrient dose (110:35:70 kg N:P\(_2\)O\(_5\):K\(_2\)O ha\(^{-1}\)) significantly improved okra yield and nutrient uptake while enhancing soil fertility. The findings highlight the potential of biochar as a soil conditioner and underscore the importance of application rate for achieving optimal benefits.

  • Impact of COVID Lockdown on Price Volatility of Pineapple in Vazhakulam, Kerala

    • Case-Study
    • Economics
    • Policy
    Arshad N., Aswathy Vijayan*, Durga A. R., T. Paul Lazarus, Pratheesh P. Gopinath

    Price fluctuations pose a major challenge in horticulture, especially for perishable crops like pineapple. Vazhakulam in Kerala is a leading hub for pineapple cultivation, with strong interstate marketing networks. This study investigates price volatility in the Vazhakulam pineapple market during covid lock down using daily price data from January 2017 to September 2022. The data was segmented into pre-pandemic (Jan 2017–Mar 2020) and pandemic/post-pandemic (Apr 2020–Sep 2022) periods. Time-series modeling using ARCH and GARCH approaches in R revealed that GARCH(1,1) was the most suitable model for capturing volatility patterns. Results showed significantly higher price instability during the pandemic period, driven by transport disruptions and reduced consumer demand. This volatility affected the economic viability of pineapple farming, leading many producers to reduce cultivation. The findings highlight the need for targeted policy support and risk management strategies to stabilize fruit markets and protect farmer livelihoods during times of crisis.

  • Digenic Interactions on Yield in Yardlong Bean: A Generation Mean Analysis

    • Original-Article
    • Plant-Science
    • Crops
    • Genetics
    Lovely B.*, Radhadevi D.S, Vijayaraghava Kumar

    Vegetable cowpea [Vigna unguiculata ssp. sesquipedalis (L.) Verdc.] is a distinct form of cowpea cultivated in southern Asia and the Far East for its immature pods. Six parameter generation mean analysis of three cowpea crosses revealed complex gene action for several yield-related traits. Significant scale tests and epistasis indicated the inadequacy of the simple additive-dominance model, underscoring the role of non-allelic interactions in trait inheritance. Additive × additive, additive × dominance, and dominance × dominance effects were observed for traits such as pod length, pod yield per plant, pods per plant, and root weight. The presence of duplicate and complementary epistasis suggests that hybridization followed by selection in segregating generations would be effective for improving these traits. Traits like pod breadth, seeds per pod, and 100-seed weight, which lacked significant epistasis, can be improved using additive-dominance models. Recombination breeding is recommended for enhancing pod yield and pod weight.

  • RAISINS: Integrating R and AI for Agricultural Data Analysis

    • Original-Article
    • Data-Science
    • Software
    Mohammed Hisham M., Jithin Chandran, Pratheesh P Gopinath*

    RAISINS (R and AI Solutions for INferential Statistics) is a web-based statistical analysis platform designed to bridge the gap between complex inferential methods and the practical needs of students and researchers, particularly in the agricultural sciences. By integrating the computational power of R and Python with the adaptive capabilities of OpenAI’s artificial intelligence APIs, RAISINS delivers an intuitive, code-free interface for performing advanced statistical analyses. Hosted on Posit Connect Cloud, the platform eliminates the need for local software installation, enabling seamless, browser-based access to a wide range of statistical tools. RAISINS simplifies model building, result interpretation, and reporting, making it especially valuable for non-statisticians and early-career researchers seeking reliable insights from agricultural data.

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About the journal

The Journal of Sustainable Technology in Agriculture (JOSTA) is a peer-reviewed, open-access e-journal dedicated to publishing high-quality research that fosters innovation and sustainability in agriculture. Founded by a collaborative group of scientists and professionals, JOSTA serves as a reliable and inclusive platform for sharing advancements that enhance agricultural practices through responsible technology use, practical innovation, and applied research.

We are committed to academic integrity and scientific excellence. All manuscripts submitted to JOSTA undergo a rigorous peer-review process to ensure validity, relevance, and quality. Our open-access model ensures that published research is freely available to researchers, practitioners, educators, and policymakers around the world-promoting broad dissemination and knowledge sharing.

JOSTA is also a registered member of Crossref , the global scholarly infrastructure that connects research publications through persistent Digital Object Identifiers (DOIs). Every article published in JOSTA is assigned a unique Crossref DOI, ensuring permanent identification, reliable citation linking, and global discoverability across academic databases such as Google Scholar, Scopus, and OpenAIRE.

Articles published in JOSTA are permanently archived in Zenodo with dedicated community created for JOSTA, ensuring your research is stored safely, secure and open for the future in CERN’s data centre for as long as CERN exists.

The journal encourages interdisciplinary contributions from agricultural sciences, engineering, social sciences, and environmental studies that align with its mission of promoting sustainable agricultural development.

JOSTA is managed by PAPAYA, Academic Press of Statoberry LLP and supported by domain experts in agriculture and allied sciences, ensuring both technical accuracy and contextual relevance in all published content.

Journal information

  • Starting year 2025
  • Frequency Quarterly-Online
  • Format Online
  • Subject Agriculture
  • Language English
  • ISSN 3107-6882 (Online)
Publisher PAPAYA Academic Press, KP-16/876(A), Kalliyoor P.O., Thiruvananthapuram, Kerala — 695523

Our vision

At JOSTA, we believe that scientific knowledge should be freely accessible and shared without unnecessary barriers. Our vision is to create a research ecosystem where agricultural innovations are communicated openly, reviewed rigorously, and applied meaningfully.

We aim to provide a trusted platform that empowers researchers, educators, and practitioners to publish high-quality work in a transparent, supportive, and researcher-friendly environment. By combining open access with editorial excellence, JOSTA seeks to advance sustainable technologies in agriculture and foster a culture of collaboration and continuous learning.

Why publish with us?

Open Access: Your work is freely accessible online from the moment of publication, increasing its reach and impact.

  • Streamlined process: We offer a simple, submission-friendly system that focuses on quality without the complexity of traditional publishing.

  • Permanent archiving: Accepted articles are hosted on trusted platforms like Zenodo, ensuring long-term availability and proper citation.

  • Supportive community: Our team is dedicated to helping researchers at every stage of the publishing process, with fair and timely peer review.

Journal metrics

Journal metrics

  • Average time to first decision 10–15 days
  • Average time to publication 30–35 days Fast track: 14 days
  • Rejection rate 40%
  • Articles per issue 10–12
  • Issues per year (Quarterly) 4
  • Citations (after indexing & first cycle) To be updated

Note: Metrics are provisional and will be refined as the journal grows and indexing data becomes available.

Peer review policy

All submissions undergo an initial assessment by the managing editors. Suitable manuscripts are then assigned to the appropriate section editors, who identify independent experts in the relevant field to serve as reviewers. JOSTA follows a double-blind peer review process, where both authors and reviewers remain anonymous to ensure fairness and objectivity. Based on the reviewers’ feedback, authors may be requested to revise their manuscripts.

For a detailed description of the review process, see Peer review process.

🔓Open access

JOSTA is a fully open-access journal. This means all published articles are available online without subscription or payment barriers, ensuring maximum visibility and accessibility. Open access increases the global reach, readership, and impact of your research.

We are a member in crossref and each article in JOSTA receives an unique DOI. All articles published in JOSTA are permanently archived in Zenodo, a research data repository operated by CERN and integrated with the OpenAIRE network. This ensures long-term preservation, discoverability. As part of OpenAIRE indexing, JOSTA’s publications are accessible to global research databases and funding agencies, guaranteeing broad visibility and compliance with open-science mandates.

All articles published are indexed in OpenAIRE as they are archived in Zenodo.

Article processing charges (APC)

At JOSTA, we uphold the principle that research quality should never be compromised by publication costs.

✅ No submission fees
✅ No charges for figures, tables, or page limits
✅ Online publication with permanent open-access availability
✅ No subscription fees

We are committed to supporting high-quality, impactful research and promoting affordable, accessible publishing for all. By removing financial barriers, we aim to encourage meaningful contributions to sustainable technology in agriculture. For more detailed description on APCs, see Article Processing Charges (APCs).

Commitment to transparency

In the spirit of openness, JOSTA maintains complete transparency about its operational costs.
Our current running expenses include:

  • Crossref membership
  • Website hosting and domain maintenance
  • Server and infrastructure costs for the submission and review portal
  • Editorial, copy-editing, and technical support services

How we sustain this model

JOSTA is proudly supported by our online data analysis platform RAISINS and the revenue generated by Statoberry LLP.

This allows us to offer APC free publication and maintain high editorial standards as a service to the global research community.

🔑 Author login

Authors and researchers are welcome to submit their articles to JOSTA through our secure online submission portal.
You can register as a new author or log in using your registered email ID and password to access your submission dashboard.

👉 Access author portal

Once registered, you can: - Submit the articles directly online
- Track your submission status in real time
- Respond to editorial or reviewer feedback
- Upload revised versions or additional files

This platform is open to all researchers worldwide helping us ensure a seamless, transparent, and efficient publication process.

🍃Greener publishing

As a digital-only journal, JOSTA embraces environmentally responsible publishing. By eliminating print processes, we reduce paper use, energy consumption, and carbon footprint-aligning our commitment to open access with a sustainable future for scholarly communication.