> For the complete documentation index, see [llms.txt](https://docs.algenta.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.algenta.ai/biology-and-agricultural-sciences.md). # Biology & agricultural sciences - [Agricultural production kernels](https://docs.algenta.ai/biology-and-agricultural-sciences/agricultural-production-kernels.md): Five flat-scalar modules for crop and plant production math -- field agriculture, agronomic crop/soil science, horticultural plant physiology, hydroponic nutrient/climate control, and greenhouse struc - [Specialty agriculture & aquaculture kernels](https://docs.algenta.ai/biology-and-agricultural-sciences/specialty-agriculture-and-aquaculture-kernels.md): Per-hive, per-tank, per-stock, per-hectare, and per-trap arithmetic for six specialty production sciences -- beekeeping, aquatic farming, wild-fisheries stock assessment, wine-grape growing and cellar - [Molecular & cell biology kernels](https://docs.algenta.ai/biology-and-agricultural-sciences/molecular-and-cell-biology-kernels.md): Sequence-level bioinformatics, genome-scale statistics, mass-spectrometry protein and metabolite quantification, allele-frequency population genetics, and plant secondary-metabolite assay formulas acr - [Ecology & organismal biology kernels](https://docs.algenta.ai/biology-and-agricultural-sciences/ecology-and-organismal-biology-kernels.md): Population-dynamics and community-diversity formulas for general ecology, plus five taxon-focused libraries -- ecophysiology, entomology, microbiology, mycology, and bryology -- covering organism-envi - [Paleobiology & archaeobotany kernels](https://docs.algenta.ai/biology-and-agricultural-sciences/paleobiology-and-archaeobotany-kernels.md): Tree-ring dating and climate-signal statistics, forest-mensuration biometrics, quantitative pollen/spore analysis, and fossil preservation and decay-process formulas across four independent historical --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.algenta.ai/biology-and-agricultural-sciences.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.