The Archive

Every paper we've published

12 papers, 6 disciplines — indexed for readers, search engines, and AI answer engines alike.

Featured this week

Molecular Characterization and Biocontrol Potential of Native Rhizobacteria Against Rhizoctonia solani in Rice

Screening 32 native soil bacteria from Karnataka rice fields, researchers found two Streptomyces strains that cut sheath blight severity as effectively as a chemical fungicide — with hydrogen cyanide and iron-starving siderophores identified as their weapons against the fungus.

  • Of 32 native rhizobacterial isolates collected from rice rhizosphere soil across four Karnataka growing regions, the actinobacterial strains GVTAM 8 and DWRAM 10 inhibited R. solani mycelial growth by 90.61% and 88.38% in vitro — outperforming even the established reference biocontrol strain AUDT 502 (87.77%).
  • In glasshouse trials, combined seed treatment plus foliar spraying with GVTAM 8 and AUDT 502 was the single best treatment, cutting relative lesion height to 14.52% — statistically on par with the chemical fungicide hexaconazole (14.04%) and a dramatic improvement over the untreated, pathogen-only control (65.40%).
  • 16S rRNA gene sequencing identified GVTAM 8 as Streptomyces cinnabarinus (98.06% similarity to reference sequences) and DWRAM 10 as Streptomyces pseudogriseolus (98.21% similarity), with both sequences deposited to NCBI (accession numbers OQ512000 and OQ512154).
  • The biocontrol effect is attributed to two specific mechanisms: hydrogen cyanide production, which disrupts the pathogen's electron transport chain and halts ATP synthesis, and siderophore production, which starves the fungus of iron it needs to survive by binding available ferric ions first.
Muhammad Waqar· Researcher, Food Technology and Innovation Research Center of Excellence · School of Agricultural Technology and Food Industry, Walailak University, Tha Sala

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

A sweeping review of AI in food production finds hyperspectral-imaging quality checks hitting up to 100% accuracy and predictive maintenance cutting downtime 30% — yet food remains the least robotic-adopting industrial sector of all, at just 5% penetration.

Food ScienceAgri Data ScienceArtificial IntelligenceFood Safety
Aruna Balla· Researcher · Niruthi Climate & Ecosystem Private Limited, Hyderabad, Telangana

Impact of West-Asia War on Indian Agriculture

India's fertiliser sector runs on Gulf-region gas and imported potash and phosphate — so when the 2026 West-Asia conflict shut down Strait of Hormuz shipping, urea prices jumped over 75% in a year, even as India entered the season with unusually large stockpiles cushioning the immediate blow.

Farm EconomicsFertiliser MarketsIndiaFood SecuritySupply Chains
Anita Patra· Professor, School of Management · Centurion University of Technology and Management, Odisha

Direct Farmer to Consumer Marketing Opportunities and Barriers

A survey of 40 farmers in Odisha's hilly Gajapati district finds every single one sells exclusively via informal roadside stalls, with poor transport as the dominant barrier — and not one has ever received government or institutional marketing support.

Farm EconomicsAgricultural MarketingIndiaSmallholder Livelihoods
T. Mary Little Flower· Researcher, Department of ECE · St. Xavier's Catholic College of Engineering, Kanyakumari, Tamil Nadu

AI-Driven Robotics in Agriculture: A Review

A PRISMA-guided review of 35 studies traces how vision-based navigation, bio-inspired swarm robotics, and hyperspectral sensing are converging on autonomous farm machines — and catalogs the cost, adaptability, and policy gaps still standing between the technology and small farms.

Agri-EngineeringRoboticsArtificial IntelligenceIndia
Suresh Gawande· Researcher · ICAR-Directorate of Onion and Garlic Research (DOGR), Pune, Maharashtra

YOLO-ODD: An Improved YOLOv8s Model for Onion Foliar Disease Detection

A field-image dataset of 1,000 onion plants trained an upgraded YOLOv8 detector that spots Anthracnose, Stemphylium blight, Purple Blotch, and Twister disease at 77.3% accuracy and 123 frames per second — fast and light enough to run inside a farmer-facing smartphone app.

Agri Data SciencePlant PathologyIndiaMachine LearningComputer Vision
Vishwa Nath· Researcher, Department of Horticulture · RBS College, Bichpuri, Dr. BR Ambedkar University, Agra, Uttar Pradesh

Response of Mulching and GA3 on the Performance of Cabbage (Brassica oleracea var. Capitata)

A field trial in Agra found that combining black polythene mulch with 50 ppm gibberellic acid (GA3) boosted cabbage head yield by roughly 30% over untreated plants, while also producing the earliest, largest, and densest heads of any treatment tested.

AgronomyHorticultureIndiaCrop Yield
Ashish Pawar· Researcher, Department of Renewable Energy Engineering · College of Technology & Agricultural Engineering, Agriculture University, Jodhpur, Rajasthan

Design and Development of Solar Multispectral Cum Electrified Mesh Insect Trapper with IoT-Based Ultrasonic Animal Repellent System

A solar-powered device combining multi-spectral LED insect trapping with an IoT-triggered ultrasonic animal repellent cut animal intrusions by roughly 75% in a 30-day field trial at Agriculture University Jodhpur — running entirely off-grid.

Agri-EngineeringEntomologyIndiaRenewable Energy
Abhilash Singh Maurya· Subject Matter Specialist, Agricultural Extension · Krishi Vigyan Kendra, Raebareli-II, Uttar Pradesh

Assessing the Role of Digital Platforms in Strengthening Agricultural Extension Services: Advisory to Empowerment

A survey of 400 Uttar Pradesh farmer households finds that regular users of digital advisory platforms — WhatsApp groups, YouTube, apps — score significantly higher on knowledge, empowerment, and yield than non-users, even after controlling for income and education.

Agri Data ScienceAgricultural ExtensionIndiaFarmer Empowerment
Victoria C. F. Westbrooke· Researcher, Department of Land Management and Systems · Lincoln University, Christchurch, New Zealand

Bridging Gaps: A Study of Trust and Information Flow in New Zealand Agriculture

A qualitative study of 37 New Zealand dairy and sheep/beef farmers finds they increasingly trust informal, digital, and peer-driven information — including AI — over formal institutions, and are struggling with real information overload as a result.

Agri Data ScienceAgricultural ExtensionNew ZealandFarmer Decision-Making
Pawan Kumar Sharma· Researcher, Department of Mathematics · Bareilly College, Bareilly, Uttar Pradesh

Economic Analysis of Agricultural Production and Inflation in India

Using two decades of Indian inflation data, this study finds a durable long-run link between agricultural production and both consumer and wholesale price inflation — spiking sharply during the 2008 financial crisis and again in 2021, before both measures corrected by 2023.

Farm EconomicsInflationIndiaEconometrics
Vedant Balasubramaniam· Researcher · Indian Institute of Science, Bengaluru

Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory Generation

A multi-agent AI system that generates season-long farming advice and checks it against a crop growth simulator before recommending it — in a decade-long test on maize in Karnataka, all three reasoning strategies beat static advisory guidelines, with the best approach lifting yields by over 1,150 kg/ha.

Agri Data ScienceMachine LearningAgronomyIndiaCrop Simulation