License: CC0 1.0 Universal (Public Domain) Status: Open Source / Prior Art
Freedom to Operate Statement By publishing this workflow, author(s) dedicate the specific integration of these "known" elements to the public domain, ensuring freedom to operate for developers, farmers and researchers.
You can use this to develop a specific system, improve or just copy-paste any of this text directly into a blog, a GitHub repository, or a research proposal.
While the components of this system are well-known (similar or identical ideas used globally for centuries), they are fundamentally naturally occurring processes. Modern open-source technologies now have the potential to manage the complexity of these kinds of systems. By publishing this document under CC0 license, the author(s)…
License: CC0 1.0 Universal (Public Domain) Status: Open Source / Prior Art
Freedom to Operate Statement By publishing this workflow, author(s) dedicate the specific integration of these "known" elements to the public domain, ensuring freedom to operate for developers, farmers and researchers.
You can use this to develop a specific system, improve or just copy-paste any of this text directly into a blog, a GitHub repository, or a research proposal.
While the components of this system are well-known (similar or identical ideas used globally for centuries), they are fundamentally naturally occurring processes. Modern open-source technologies now have the potential to manage the complexity of these kinds of systems. By publishing this document under CC0 license, the author(s) intentionally place this specific combination of biological and digital logic into the Public Domain.
Abstract This document outlines an agricultural workflow and logic that can be used to provide high-frequency monitoring in agriculture, of entire system, of its individual components and even individual plants. That allows finding a known problem before it spreads, predicting and suggesting simple well known corrective actions, if established correctly it has a potential to save significant money on usual farming expenses, plus generating more yield every year. A great advantage of these methods and logic is that it can significantly reduce the amount of synthetic chemicals, diesel, water, and high intensity manual labor needed to produce a variety of goods. In addition to these savings, methods and systems discussed here have a potential to increase total yield, enhance income stability through product diversification, and provide precise, no-spray pest and weed control. Such systems use less mechanical movement resulting in lower wear and tear of equipment. This system is able to utilise logic compatible with any low-cost, open-source robotics. It also can significantly restore ecosystem. These methods have been known for many decades, and even centuries, yet complexity of management and monitoring is what creates a difficulty when implementing them. This can be done very easily now with newly available technology, some or all of which can be even open-source for added cost effectiveness. A common design choice in such systems is allowing the farm or orchard to operate as a multi-species engine, in which every part benefits the other part and yield increases as a result of a biological synergy. This general approach is modeled for ecosystems with distinct growing seasons and moderate rainfall, specifically Temperate Climates (Hardiness Zones 4–8).
*The Biological Synergy *
1.The role of Fruit Trees:
They provide a cooling canopy that suppresses extreme surface heat and prevents the "sun-scald" of delicate understory plants, any shade also reduces water evaporated from the soil
Through Hydraulic Redistribution, they lift deep groundwater at night and "leak" it into the upper soil layers during dry periods. (1)
Trees add fertility to the soil when they drop leaves
They provide the main high-value fruit harvest.
2.The role of Insectary Intercrops (good candidates are Buckwheat/Clover/Alliums/Canola):
They prevent soil erosion and keep weed seeds from germinating by covering the bare earth.
Garlic and onions further suppress fungal pathogens and mask the scent of trees from wood-boring insects.
Buckwheat and Clover act as "Banker Plants" providing nectar to sustain predatory insects (Ladybugs, Lacewings) when pests are scarce.
They add fertility to the soil, especially nitrogen fixer crops
They also can turn the space between trees into a secondary cash crop, for example organic buckwheat is in scarce supply while providing many benefits and is a culinary masterpiece.
3.The Role of Fungi (like Lion’s Mane or Oyster Mushrooms) They consume and break down the lignin in pruned wood. By doing this quickly, they prevent "waste" piles from becoming a breeding ground for harmful tree diseases like Fire Blight.
They return carbon and complex sugars to the soil. The "Spent Mushroom Substrate" (the leftover blocks) improves the soil’s structure and its ability to hold water.
They convert a waste product (wood) into a premium source of protein (lobster or crab-like-tasting if it’s Lion’s Mane mushroom, that has a very specific unique look too), adding another stream of income to the same acre.
4.The Role of Grazing Waterfowl (Geese have been used for this for many decades) They eat “weeds” while leaving broad leaf crops untouched. Their serrated beaks are designed to shear grasses. They naturally find broadleaf plants (like clover, buckwheat, or garlic) unpalatable.
They also act as a sanitation crew by eating fallen "pest fruit," which effectively destroys the larvae of insects like the Codling Moth before they can burrow into the soil to hibernate.
Their digestion process converts weeds and fallen fruits with pest larvae into a liquid gold for the soil. They provide a steady supply of high-nitrogen manure directly at the tree’s drip line. Free fertilizer with free distribution.
They eliminate the need for diesel-powered mowing
Harvest waste can also be used for geese feeding.(2)
This system doesn’t rely on "buying bugs" and releasing them. Instead, it uses Functional Biodiversity to keep a resident population alive at all times. Ladybugs (Coccinellidae) and Lacewings (Chrysoperla) control aphids, thrips, and mealybugs.
It can be especially beneficial to plant species like Dill, Fennel, and Buckwheat in alleys between trees. These have tiny, accessible flowers that provide nectar - the "fuel" the adult insects need to stay in the orchard and lay eggs when pest levels are low.
5.The Role of the AI (The Digital Conductor)
In this system, the AI is not a "pilot"; it is a Support System. It monitors the tiny details of the ecosystem frequently to ensure that every single group (geese, bugs, trees, crops, or fungi) stays in the right balance and health.
To prevent system collapse, the AI enforces specific rules, some examples may be:
Geese safety: If the Thermal Camera detects Canine Heat Signature (>38°C, specific shape) at night... Then Trigger Strobe Lights + Audio (Human Voices)
The "Blight" Protocol: If AI detects orange bacterial ooze or blackened tips... Then Mark GPS location + Send "Urgent Prune" alert to Farmer Dashboard.
This notification alone can save tens of thousands of dollars to a farmer who would have found it by visual checks after it’s already a bit late and it started spreading rapidly.
Threshold Monitoring Logic: Instead of spraying or intervening at the first sight of a bug, the AI can use computer vision to count the ratio of pests to their predators.
- Logic: If there is aphids to ladybugs ratio 5:1, the AI does nothing- ladybugs are winning there.
- Action: If the ratio shifts to for example 50:1, the AI can notify and suggest releasing a concentrated pheromone to draw more ladybugs to that specific tree from neighboring trees and crops in which beneficial insects live full time.
Goose Movement Logic: Geese leave broadleaf crops (like Garlic or Buckwheat) alone because their digestive tract is optimized for the high fiber of Grasses.
- Logic: The AI monitors grass height in the "Goose Alleys."
- Action: When the grass is eaten down to 1–2 inches, the AI moves the geese to the next row. This prevents the geese from getting bored or hungry enough to experiment with eating broadleaf crops.
Disease Forecasting: The AI connects to local weather stations and monitors humidity and temperature in the canopy.
- Logic: It uses models to predict exactly when Fire Blight or Apple Scab is likely to strike.
- Action: The AI directs a visual "deep scan" of the leaves before the disease is even visible to the human eye.
There are many ways in which modern technology can save enormous resources, work and generate even more income. It is well said in this paper: “When embedded within broader sustainable agriculture frameworks, AI has the potential to transform not just how insect pests are managed, but how food is grown, ecosystems are restored, and resilience is built into the future of farming. To realize this potential equitably, it is essential that AI tools are co-developed with farmers, researchers, and policymakers to ensure relevance, accessibility, and long-term impact. Finally, academics can help turn promise into practice by co-developing AI tools with growers and agencies; curating open, representative datasets; running on-farm validation and benchmarking; and producing standards, training, and extension materials” (3)
Why Intercropping Yields More (The "1 + 1 = 3" Effect)
In one study a network of five agroforestry systems integrating arable crops, livestock and biomass trees was investigated to assess the range of agricultural products in each agroforestry system. Land Equivalent Ratio (LER) was used to measure the agronomic productivity, whereas gross margin was used as an indicator for economic viability assessment. LER values ranged from 1.36–2.00, indicating that agroforestry systems were more productive by 36–100% compared to monocultures. (4)
Conclusion
There is a good amount of evidence that it is possible to get much more total biomass and value from land where a mixed system of agriculture is established - one that utilizes diverse lifeform interactions and advanced monitoring of their balance. The complexity of these systems now can be easily managed by using modern technology, which can even track the health of each plant, animal or component in the system. In addition to increased yield, this model has a potential to provide significant savings on water, chemicals, diesel, mechanical maintenance, and physically demanding labor. Another potential benefit is the stability of income through diversification of product, the possibility of precise monitoring, early warnings before disease outbreaks start and the implementation of no-spray pest and weed control that requires no heavy machinery and lower mechanical wear and tear. There is an additional cost advantage if this system is implemented using open-source technology.
Sources:
Bleby TM, McElrone AJ, Jackson RB. Water uptake and hydraulic redistribution across large woody root systems to 20 m depth. Plant Cell Environ. 2010 Dec;33(12):2132-48. doi: 10.1111/j.1365-3040.2010.02212.x. Epub 2010 Sep 20. PMID: 20716068. 1.
FAO (UN Food and Agriculture Organization) https://www.fao.org/4/y4359e/y4359e0e.htm 1.
Vinatier T, Pérez-López E (2026) AI for accurate insect pest monitoring: A path toward resilient agriculture. PLOS Sustain Transform 5(1): e0000216. doi:10.1371/journal.pstr.0000216. https://journals.plos.org/sustainabilitytransformation/article?id=10.1371/journal.pstr.0000216 1.
Lehmann, L.M.; Smith, J.; Westaway, S.; Pisanelli, A.; Russo, G.; Borek, R.; Sandor, M.; Gliga, A.; Smith, L.; Ghaley, B.B. Productivity and Economic Evaluation of Agroforestry Systems for Sustainable Production of Food and Non-Food Products. Sustainability 2020, 12, 5429. https://doi.org/10.3390/su12135429