Target biology
Define the pest, olfactory pathway and biological objective.
CropG1 Research
Research and development in insect olfaction, semiochemicals, molecular design, behavioural pest management and semiochemical sensing — integrating AI and IoT where they strengthen precision pest management.
Explore SemiochemicalsThe scientific foundation
Organisms exchange chemical information continuously. CropG1 studies how semiochemical signals connect molecules, sensory systems and behaviour — and how that knowledge can inform new agricultural technologies.
From environmental signal to biological recognition and response.
Depending on the insect and pathway, recognition may involve odorant- or pheromone-binding proteins, chemosensory proteins (CSPs), and olfactory receptors including Orco-associated receptor complexes. The contribution and evidence for each element are species-, ligand- and context-dependent.
Molecular Discovery & Olfactory Modulation
CropG1 is developing a research direction that applies molecular-design thinking to insect olfactory systems: connecting target biology and molecular recognition with ligand design, synthesis, functional response and behaviour.
The programme is exploratory. Evidence, targets and suitable assays vary by pest and pathway; activity at one layer does not by itself demonstrate behavioural or field performance.
A staged research logic for olfactory modulation.
Define the pest, olfactory pathway and biological objective.
Study the evidence connecting ligands, binding proteins and receptors.
Explore molecular and medicinal-chemistry-style analogue design.
Relate chemical changes to measured structure–activity relationships.
Evaluate activity in scientifically appropriate assays.
Test whether molecular activity translates into relevant behaviour.
Odorant- and pheromone-binding proteins, CSPs, olfactory receptors and Orco-associated systems are considered only where relevant and supported by the biology of the target system.
SEMIOCHEMICAL LIBRARY
A scientific discovery system connecting chemical identity, biological role, associated organisms, evidence, analytical information and availability.
The record model connects reviewed chemistry, species, biological function, molecular targets where known, assays, behaviour, literature, analytical information and availability.
The Library is designed as a scientific graph rather than a conventional product catalogue.
This diagram describes the intended information relationships; it is not a searchable database or statement of current records, evidence or inventory.
Formulation & Delivery
Semiochemicals can support both surveillance and direct behavioural pest management. Their performance depends on how signals are formulated, released and deployed in the field.
CropG1 approaches formulation and delivery as the enabling layer connecting chemical ecology to monitoring, behavioural intervention and field validation.
The biological objective determines the intervention strategy; the strategy defines molecule, release and validation requirements.
Observe pest presence and support field intelligence.
Mass trapping · Mating disruption · Attract-and-kill · Push–pull · Emerging strategies
The landscape describes research and application strategies. It does not imply that every strategy or formulation is currently offered as a commercial CropG1 product.
FLAGSHIP RESEARCH PLATFORM
Translating Semiochemical Signals into Farm Intelligence
PHEROSCAN is a modular semiochemical sensing platform.
Its technology-neutral architecture can accommodate scientifically justified recognition and sensing modalities across laboratory, portable and connected field configurations.
A modular scientific flow rather than a fixed sensor geometry.
Can the sensing response distinguish relevant semiochemical information under realistic conditions?
Can response be calibrated against known signal conditions and analytical references?
Can the platform operate meaningfully outside controlled laboratory conditions?
Can improved chemical information support better decisions within broader pest-management programmes?
Sampling and recognition may use biosensors, chemical sensors or other justified modalities. AI-assisted interpretation, pest-surveillance observations, IoT-connected systems and environmental data can support field intelligence where useful; they are enabling tools, not the scientific endpoint.
Research & Innovation Programmes
CropG1 programmes connect scientific questions with molecular, behavioural, sensing and field-validation work for precision pest management.
Public programme information is limited to verified, disclosure-safe content. Detailed methods, results and intellectual property remain private unless approved for disclosure.
Scientific platforms and research directions in active development.
A modular semiochemical sensing platform.
Exploring target biology, molecular recognition, ligand design, synthesis, functional response and behaviour.
Developing AI-assisted and connected approaches for automated pest observation and surveillance as a complementary field-intelligence capability.
Prior competitively supported translation programmes presented separately from current research.
Biotechnology Ignition Grant supporting development of a dual lure designed to attract male and female fall armyworm, Spodoptera frugiperda. Competitively awarded BIRAC translational funding through C-CAMP.
Karnataka ELEVATE Idea2PoC support for development of an allelochemical-based dual lure targeting male and female coffee white stem borer, Xylotrechus quadripes.
Insights & scientific exchange
Articles, lectures, presentations and technical perspectives form a structured knowledge layer connected to CropG1 researchers, projects and scientific themes.
Collaborate
Academic research, industry R&D, international consortia, joint funding proposals and field validation each require a different collaboration pathway.
The pathway should follow the scientific problem, the evidence required and the stage of development.
CropG1 Research