The agriculture we stand for

L’agriculture de précision consiste à utiliser des techniques numériques pour mesurer et analyser l’ensemble des facteurs qui influent sur les récoltes. C’est-à-dire le sol, la météo et la santé des végétaux. Tout ceci dans le but de réduire les besoins en intrants afin de maintenir, ou améliorer, la production et réduire les effets sur l’environnement.

L’agriculture de précision se base sur les données récoltées par les objets connectés (IoT) et traitées via les algorithmes d’une Intelligence Artificielle.

Precision agriculture consists of using digital techniques to measure and analyse all the factors that influence harvests. That is to say the soil, the weather and the plants’s health. The aim is to reduce the need for inputs in order to maintain, or improve, production and have positive impacts on the environment.

Precision agriculture is based on data collected by connected objects (IoT) and processed using Artificial Intelligence algorithms.

The Internet of Things (IoT) refers to the interconnection between objects via the Internet. These objects can then be controlled and viewed remotely. This also makes it possible to centralise the data collected by these objects on a website or an application.

There are more and more connected objects specific to agricultural work (read our article on this topic). We are convinced that these tools can greatly facilitate the life of farmers. The IoT allows informed decisions to be made on a daily basis.

“Brad supports farmers in their daily practices by helping them anticipate the health of their plots.”

Conservation agriculture is an agronomic technique based on 3 fundamental principles: Minimum mechanical soil disturbance, Permanent soil organic cover, and diversification of plant species.

CA thus makes it possible to avoid soil fatigue, and even to regenerate degraded soils.

In a nutshell, CA considers the soil as a living environment where natural interactions are privileged. This is to avoid inputs and unnecessary labor. Soil is no longer just a growing medium.

Conservation agriculture ultimately leads to better production. With, in parallel, savings of time and money.

“Brad’s app offers best practices to help farmers work with living soil.”

Artificial intelligence is a set of techniques that allows machines, via algorithms, to simulate human intelligence. In practice, it makes it possible to make robots more autonomous and to analyse large volumes of data collected by probes.

It also makes it possible to apply predictive models to the data in order to predict a particular event.

AI is used in many aspects of agriculture.

“Artificial intelligence is increasingly involved in the daily decision-making of the farmer.”

Indeed, the use of connected objects associated with AI makes it possible to detect the best way to optimise agricultural yields. This technology has the capacity to assist farmers and agronomists to optimise the time devoted to crops as well as yields.