Crop Monitoring Review – Through the years, farming and farming processes have grown to be more complicated and enormous-scale. It has brought towards the introduction and employ of advanced analytic tools that really help maqui berry farmers automate farm processes and be more lucrative. Nowadays, many industries heavily use big data to understand their clients better and improve services, providing them with more profits. This really is exactly the same within the agriculture industry. Using advanced analytics tools for example crop monitoring platforms helps maqui berry farmers within their everyday practice. It cuts down on the quantity of manual work made by maqui berry farmers and offers all of them with regular updates around the health insurance and development of their crops. By doing this, maqui berry farmers can generate better yields with less manual work.

What’s EOS Crop Monitoring?

EOS Crop Monitoring, created by EOS Data Analytics (EOSDA), is definitely an online platform for precision agriculture accustomed to monitor fields remotely in near-real-time. EOSDA is probably the top firms that provide AI-powered satellite imagery analytics with proprietary algorithms. With this particular tool, maqui berry farmers could possibly get various kinds of agriculture data: weather threats (heat stress or cold stress), crop health, crop rotation, soil moisture, yet others in a single central hub.

Specs from the product

The crops are monitored constantly, which supplies early recognition of illnesses, unwanted pests, weeds, along with other factors that induce home loan business yield. By using this tool, maqui berry farmers could make reliable and timely decisions regarding field activities, reducing costs, growing yields, and not waste time.

Satellite imagery analysis enables for fast and efficient recognition of field trouble spots. When maqui berry farmers begin to see the field zone that needs inspection, they are able to assign a scout towards the exact point in the game through the platform. Scouts begin to see the task inside a special scouting mobile application and visit the marked place to check what the problem is and describe it within their scouting report instantly. Much more, it normally won’t even require the Internet to do this.

The scouting process is enhanced by using satellites because it can identify trouble spots remotely and guide scouts straight to the appropriate area, saving effort and time on searching el born area in the ground.

Crop Monitoring also provides use of weather data: 14-day forecasts and historic weather for five years timespan. This can help maqui berry farmers to identify environment patterns and plan their farm activities accordingly.

The woking platform also generates productivity and plant life maps using data acquired from satellites. Maqui berry farmers may use these maps to handle their virtual farms by minimizing using sources and maximizing crop yield. With your maps, they are able to use the VRA method of seeding, fertilization, irrigation, etc, and plan effective crop rotation.

Maqui berry farmers can monitor the development and health of the crops using a variety of plant life indices like NDVI, NDRE, RECI, MSAVI, and NDMI. Many of these indices help maqui berry farmers to create better decisions. For example, Normalized Difference Plant life Index (NDVI) helps maqui berry farmers to understand the healthiness of crops remotely. The sensors around the satellite can measure wavelengths of lights reflected and absorbed by eco-friendly plants. So, using the NDVI measurements, growers can understand the quantity of live eco-friendly plants on their own field.

Healthy crops with a lot of chlorophyll reflect NIR and absorb sore point, while diseased and dying crops target your product.

However, one index isn’t enough to judge crops’ condition through the whole cultivation span. For instance, NDVI is excellent to make use of once the crop reaches a stage of active plant life growth, hence getting plenty of eco-friendly biomass. But when applied at early growth stages, caused by NDVI measurement could be incorrect because of the bare soil presence around the picture.

Also, if maqui berry farmers have to share any field data along with other parties (consultants, insurance providers, traders, other agro-cooperative people) they are able to do this via while using Team Account feature, setting the best readily available for each user.

Despite the fact that Crop Monitoring involves complex and advanced technology, you don’t need to become a specialist for their services. It will help maqui berry farmers easily manage their virtual farms while increasing crop yields with less effort.

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