Technologies and Products

The iPlantForest consortium has developed systems and machinery for the control, monitoring, management and execution of activities from the nursery to the planting of forests and their care.

The nursery and forest management system uses IOP (Standard Operating Instruction) to standardize all necessary activities in the nursery and forests. IOP’s are the set of operations described in detail, which list all the actions necessary to perform each work of the company, both in the nursery and in the field. Describes each action in detail, indicates who should perform the operation, the time it takes, the equipment that should be used, the safety precautions that must be taken, in short, it is a detailed manual of everything that each employee must do to perform all operations of the company, in all sectors.

Systems developed:

Nursery management system for seedling production and management. All stages of seedling production in the nursery are controlled by the system, from sowing, germination, to management during the months that the seedlings are in the nursery. Sensors scattered throughout the nursery store information such as: temperature, humidity and light. Information that is collected periodically to monitor and cross the growth of seedlings, relating the climatic and light conditions to the diet of that seedling batch.

Graphs for seedling production analysis

Management systems for land preparation, planting and forest management. Our systems use maps and GPS to control land preparation, planting and forest management. All forests are controlled by: Farm, Phase, Field and trees. On a farm we can have more than one planting phase (by planting date), and numerous plots, with each plot identifying the trees one by one with their GPS position for future analysis with Drones, etc.

Main system interface

All work performed on each plot is controlled and can be accessed by the landowner and all partners. So each interested party can follow the daily work on each farm, each phase of the farm, and each plot of the phase, seeing in real time what is being done, by whom and what the results are. This system was 100% developed by the companies of the iPlantForest Consortium and receives updates and improvements permanently.

Control of the works in each field

Everyone involved in the work can follow the tasks in progress and their results via mobile phone, tablet or computer. Whoever donated a resource for planting the forest can monitor the planting and growth of the forests in real time, the commercial partners of the commercial plantations or investors can also monitor the growth of the forests and the execution of all maintenance and forest management work, giving much more transparency and tranquility for each type of employee or investor. And, don’t forget, it doesn’t matter if the forest is going to recover a deforested area, or if it is a food or commercial forest, planting trees is the best solution to fight climate change and to neutralize CO2 emissions, even our commercial forests contribute for this, because as you cut and reforest them, they will continue to remove CO2 from the atmosphere. When in doubt, plant forests. Not sure how? Talk to us.

Visualization with maps of each planting area

IOPs (Standard Operating Instructions) are nothing more than a detailed description of each task performed in the company, whether in the nursery or in the field. The tasks are explained in their smallest details and allow the issuance of OS (Service Order) so that each employee knows what to do, how to do it, where it has to be done, when, and more, all the equipment that will use and care for your own safety. Finally, it is a detailed manual that helps each employee and perform tasks in a uniform and standardized manner, increasing and ensuring the quality of everything that is done in the company. There is a lot of knowledge accumulated over the years and it is passed from an older employee to a newer one, through these IOPs, which store all our knowledge and years of experience recovering degraded areas or planting commercial forests, that is, producing seedlings, planting forests and managing forests.

IOP – standard operating instruction

The O.S. (Service Order) are issued by task and indicate who will perform the task, how, where, when and take the opportunity to feed the system with the results of the execution of each service order. Adjusting the O.S as time goes by, we gain in experience and quality in our services and this knowledge goes on between generations and improves the final result of our work.

O.S. Service order of each task

Systems for management of agricultural machines. The use and maintenance of the machines is monitored periodically and launched in the system to always guarantee the perfect condition of all our equipment. Tractors, subsoilers, planting machines, seedling transport carts, etc.

Machine Control

Systems for identifying diseases through leaf analysis directly on the tree. It uses Artificial Intelligence and was developed to be used by both operator with AR glasses (augmented reality), and for Drone. Operators can use a system installed on a Raspberry PI microcomputer with “AR” glasses attached and the system helps to identify diseases in the field. The operator looks at the sheet and the system helps to identify and classify the type of disease. Future use in Drones will accelerate and lower the cost of maintaining forests. The Drones will evaluate each tree, indicated on the planting map and return with the information collected about possible diseases and pruning needs. This system is being developed in partnership with EMBRAPA-RR (Roraima, Brazil).

Neural network training

Neural network test

Graph of training and balancing of the neural network

Systems under development:

The new systems under development will help to identify deforestation, forest fire, identify the need for pruning and diseases tree by tree, and use Artificial Intelligence to carry out all these actions.

We are developing in partnership with the Artificial Intelligence company AIquimist Corporation, which is based in the United States, in New York City, but which remains in permanent contact with our companies in Brazil, seeking faster and cheaper solutions for the management of forests.

In addition to the analysis and identification systems, we are developing the Drone control systems so that they can fly over each tree and return with the collected information, sending everything to the cloud, so that we can continue the maintenance work and permanent studies of each forest. .

The work of developing new systems, new solutions, all seeking to improve the management of forests and a higher quality in the consolidation of each forest, does not stop and is part of our founding DNA. We are a group of technicians specialized in systems development, with years of experience in building systems in different areas, and all these knowledge of programming, database, artificial intelligence, robotics and automation are used to create solutions that allow us to plant more forests, faster, cheaper and with more quality than traditional methods, used by forest management companies for centuries. Our AgTech iPlantForest, carries in its DNA all these years of technological innovation, which we have been improving in other areas, in recent years.

Machines developed:

The first forest planting machine operated at an average speed of 4km to 6km per hour, however, it was not as robust for large-scale work. It was a big step forward in planting forests because it planted automatically without the need for an operator, but it received numerous changes for the construction of version 2.0.

Forest Planting Machine v.1.0

The second version of the forest planting machine is even more robust than the first version, planting between 6km and 8km per hour, and has undergone adjustments in practically all systems, including the unprecedented system developed in C ++ language, embedded in an Arduino microcomputer with GPS , RFID reading, IR reader, among other sensors. All the information recorded by this planting machine is transferred to the company’s systems, and used for analysis and management of the forest, tree by tree.

Forest Planting Machine v.2.0

Machines in development:

New version of the forest planting machine, which we renamed to “Real Carbon Capture Machine”, a loving way to remember that the forest planting machine, plants trees, and there is no better machine in the world to capture carbon (CO2) than the tree. The tree is the definitive machine to capture carbon (CO2), and for this reason we decided to rename our machine, making a joke with this fact. This faster version of the machine is being tested and should operate at 10km / h, in terrain with a slope that can reach 35 degrees, with independent hydraulic control to adjust the planting wheel, ensuring that all seedlings will be planted upwards. The entire planting wheel balancing system is being developed by our company, using an Arduino microcomputer and programmed in C++ language.

New “Real Carbon Capture Machine” v.3.0

Studies of the new machine (planting arm)

A new version to work exclusively in APP areas (Permanent Preservation Areas) is being developed, smaller and with greater maneuverability. We are also developing a 100% autonomous machine, capable of preparing the land and planting it at the same time, bringing together several machines in one.

RCCM – Real Carbon Capture Machine v.4.0 autonomous (eucalyptus)

RCCM v.4.0 is a 100% autonomous machine, that is, plants (silviculture) without any human interference. RCCM v.4.0 autonomous plants faster and with more quality than any planting team, making afforestation a cheaper, faster and smarter process.

Planting at a speed of 10,800 seedlings per hour, and using 1,600 seedlings per hectare, the machine will plant an average of 6.75 ha per hour, a record in the forestry sector. In 8 hours, without any human operator, the machine plants 54 ha of seedlings.

RCCM v.4.0 georeferences all planted seedlings, and uses intelligent systems to move, avoid obstacles and plant. It is the fastest machine for planting silviculture (eucalyptus, pine).