cover
Contact Name
Ir. Jhon Hardy Purba, M.P.
Contact Email
jhon.purba@unipas.ac.id
Phone
+6236223588
Journal Mail Official
jhon.purba@unipas.ac.id
Editorial Address
Fakultas Pertanian, Universitas Panji Sakti Jl. Bisma No. 22, Banjar Tegal, Singaraja, Bali - 81117
Location
Kab. buleleng,
Bali
INDONESIA
Agro Bali: Agricultural Journal
ISSN : -     EISSN : 2655853X     DOI : https://doi.org/10.37637/ab.v2i2
Core Subject : Agriculture,
Agro Bali: Agricultural Journal is an information media that contains articles from research, theoretical studies, and scientific writings on agriculture especially agrotechnology i.e.: agronomy, horticulture, plant breeding, soil sciences, plant protection, and other pertinent field related to plant production.
Articles 444 Documents
Empowering Farmers through Smart Pest Management: A Field-Based Study on AI-IoT System Adoption in Pendurthi Mandal, Andhra Pradesh, India Meka, James Stephen; Ponnam, Venkateswarlu
Agro Bali : Agricultural Journal Vol 9, No 1 (2026)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v9i1.2696

Abstract

The income stability and agricultural productivity of small and marginal farmers in developing countries are affected by pest infestations. Severe crop losses in India are due to increased pesticide use, limited pest-detection technologies, and restricted access to real-time advisory services. Emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Large Language Models (LLMs) offer significant opportunities to develop adaptive, farmer-centric pest management systems. This study is based on a two-component mixed method approach: (1) A large scale field study of 1000 farmers in five villages in Pendurthi Mandal, Visakhapatnam District, Andhra Pradesh, India, to assess the practice of pest control, the economic burden of pests, technology awareness and readiness for adoption of technology; and (2) A simultaneous large scale field test of a low cost AI-IoT device that includes an ESP32-CAM controller, a YOLOv8 deep learning algorithm, and a vernacular Telugu language LLM advisory engine - a new development in vernacular LLM integration tested in the field at a large scale. The survey results revealed 84% pest infestation, heavy reliance on chemical pesticides (66%), growing smartphone penetration (63%), and strong willingness to adopt (76%) when supported by government subsidies and localized AI interfaces. The field testing results verified 94% system uptime and high confidence levels of 0.87-0.94 for pest detection across four major rice pest species. This study combines findings from a survey with a concurrent field trial, confirming the efficacy of affordable pest detection and promoting sustainable agricultural practices.
Multidimensional Sustainability Assessment of Maize Farming in Tropical Regions Yusuf, La Ode Muhammad Iksan; Ma'ruf, Muhammad Imam; Sarinah, Sarinah; Abdur-Rabb, Ahmad Faqhruddin; Darwin, Dirmansyah; Nabila, Asma
Agro Bali : Agricultural Journal Vol 9, No 1 (2026)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v9i1.2666

Abstract

This study addresses a critical gap in understanding the multidimensional sustainability of tropical maize farming by simultaneously evaluating economic, ecological, socio-cultural, institutional, technological, and infrastructural dimensions using a Multidimensional Scaling (MDS) approach. Focusing on West Muna Regency, Southeast Sulawesi, Indonesia, data were collected from 150 farmers and 30 farmer group leaders, complemented by secondary sources. The study aims to assess sustainability status, identify sensitive attributes influencing outcomes, and provide evidence-based guidance for interventions. Results show an overall sustainability index of 52.59%, indicating a “moderately sustainable” system, with economic (73.81%), socio-cultural (72.01%), and ecological (55.07%) dimensions performing better than institutional (42.24%), infrastructure (40.28%), and technological (32.15%) dimensions. Leverage analysis identifies 18 key attributes critical to sustainability, highlighting the need for targeted interventions to strengthen institutional frameworks, improve infrastructure, and accelerate technology adoption. Beyond policy generalization, the findings offer practical insights for stakeholders, including development agencies and farmer organizations, to design context-specific, inclusive, and operational strategies that enhance the long-term sustainability of maize farming in tropical regions.
Does RSPO Certification Increase Smallholder Oil Palm Income? Evidence from Batanghari, Indonesia Yanita, Mirawati; Wahyuni, Ira; Napitupulu, Dompak MT; Fauzia, Gina; Rahmah, Karina; Siadari, Ulidesi
Agro Bali : Agricultural Journal Vol 9, No 1 (2026)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v9i1.2516

Abstract

This study analyzes income differentials between independent oil palm smallholders certified by the Roundtable on Sustainable Palm Oil (RSPO) and non-certified farmers in Maro Sebo Ilir District, Batanghari Regency, Indonesia. Although certification is promoted as a mechanism to enhance smallholder welfare, empirical evidence remains inconclusive, and few studies examine net income differences disaggregated by plant age under uniform price conditions. Primary data were collected from September 2022 to August 2023 from 60 farmers (30 RSPO-certified and 30 non-certified), categorized into two plant age groups: 11–18 years and 19–26 years. Farm income was calculated as total revenue minus total cost and analyzed using independent-samples t-tests. The results indicate that RSPO-certified farmers achieved higher productivity and income despite incurring higher input costs. Average annual incomes among certified farmers reached IDR 25,600,675 and IDR 25,785,872 per hectare for the 11–18 and 19–26-year groups, respectively, compared with IDR 20,144,977 and IDR 20,766,920 among non-certified farmers. Income differences of approximately 27.1% and 24.2% were statistically significant (p < 0.05). The findings suggest that income gains are primarily associated with improved technical efficiency, intensified input use, and institutional support rather than price premiums, and remain contingent upon local market and institutional conditions.
Utilization of Climate-Smart Agricultural Practices Among Rural Farmers in Cross River State, Nigeria Idiku, Friday Ogar; Archibong, Emmanuel Ekpo; Essien, Ekpenyong Nsa; Ediene, Victoria Francis; Eremi, Emmanuel Ohara; Aya, Comfort Felix
Agro Bali : Agricultural Journal Vol 9, No 1 (2026)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v9i1.2658

Abstract

Climate change poses a significant threat to agricultural productivity and food security in Nigeria. This study assessed the utilization of Climate Smart Agricultural (CSA) practices by describing the socio-economic characteristics of rural farmers, identifying their sources of information on CSA, documenting CSA practices currently adopted, and examining the constraints hindering widespread utilization. The key findings are that the majority of respondents were male (59.6%) and youths aged 20–35 years (59.6%), with most being married (59.6%) and having small households (79.8%). Although many earned a modest income (₦150,000–₦250,000 annually). A majority lacked access to credit (82.6%), which is a major limitation to CSA investment. CSA information access shows that Radio/TV (60.6%) was the main information source, and only 21.1% received CSA information from extension agents. CSA adoption and duration indicated that conservation agriculture was the most adopted practice (68.8%), and the majority (62.3%) had adopted CSA practices within the last two years, indicating relatively recent exposure while motivations for CSA adoption were improved yield (58.7%), followed by reduced cost (27.5%) and improved soil fertility (13.8%). The challenges to CSA adoption were a lack of technical knowledge (55.1%) and limited access to credit (27.5%) as dominant constraints. However, education (p=0.045, r=0.654) and sex (p=0.036, r=0.560) were significantly related to adoption of CSA practices. Similarly, social media (p=0.007, r=0.429) had a strong, positive relationship with utilization of CSA practices, while Radio/TV (p=0.062, r=0.401), though not too significant, but the positive value, indicates their importance. Therefore, CSA practices and interventions should be holistic to transform agricultural development.