With the development of Saas Systems today we are able to monitor farmers, farms, soil, plant activity and water levels in order to understand agricultural systems in a way that we were never able to before. With the use of wireless sensors, we are able to gather data and analyze this data, in order to discover patterns that will allow farmers to make more educated decisions that will increase the output and ultimate grow a better product.
What agronomist are coining as the “third wave agricultural movement,” is the successor of the “industrial farming” movement that relied heavily on technology and the “green revolution” that depended on pesticides and chemical fertilizers as solutions to preventing plant disease and massively increasing yields. The third revolution, coined as the “big data revolution,” focuses on gathering information from multiple farming practices, in order to create algorithms that can be utilized by different farms to create a crop yield that is both fruitful and sustainable. With this knowledge and information, farmers will be able to better predict activity in the farm and utilize methods that are not only better for their crops, but more environmentally sound.
Named after the molecule in every living thing that needs to exist in order to facilitate the transfer of energy between cells, ATP Labs uses this as a symbol to illustrate the use of data as an energy force that can be distributed through multiple channels. Collecting real time data using a tech framework called growOS, ATP labs tap into data sources across the field, producer and retailer which they then integrate into a cloud platform. By utilizing growOS they are able to run various inference models, using Artificial Intelligence methods to generate relevant insights that are useful across all channels of the food chain. Equipped with this data, stakeholders in the food industry can make better choices for both their business and the environment.
The three founders of ATP labs; Ilay Englard, Dr. Ishai Oren and Nadav Hefman have experience in insight and quality intelligence, engineering, applied research and agronomy, allowing them not only to build the right tools to gather data across multiple chains, but to use the data effective to maximize production and minimize environmental damage and cost.
Until recently, pesticide use in farms was a major task that was hard to measure and understand. The only information that farmers could gather from their pesticide use was where it was sprayed, but were left in the dark about the results and quality of their pesticide use. This has been a major problem in agriculture, because often times pesticides are over sprayed and don’t have the precision and accuracy necessary for an effective and quality assured process. Considering that 15-20% of the total seasonal expenditure is on pesticide use, this practice is not only in detriment to the quality of the produce, but to the pockets of farmers across the world.
FieldIn, an end-to-end pest management software service for orchards and vineyards, is the first one of its kind to offer farmers a tool to help with planning, execution and analysis of pesticide use. FieldIn combines innovative tracking hardware on farm equipment, scouting data, weather and aerial imagery, records the data and uses advanced algorithm science to provide solutions for optimal pesticide use, significantly reducing overall use of pesticides and eliminating spray mistakes. With fully automated spray logs that track results in real time and insights based on spray history, FieldIn is making pesticide management effective, safe and smart. Today some of the biggest orchards, vineyards and groves throughout California, Israel and Italy, rely on FieldIn for pesticide management, thus increasing the quality and quantity of their produce, eliminating pesticide waste, and making more sound farming decisions.
My Smart Farm
Started organizing over 30 years of data as an organic farmer based on analysis of soil and leaf samples, and soil moisture levels, Wolfgang van Loeoper the founder of MySmartFarm was able to generate a system that can help farmers to aggregate data, that will help them understand their farms better and make the proper adjustments and choices for the best farming practices. The information gathered from the farm is combed with what we know upcoming weather conditions in order for farmers to make the proper adjustments, use the appropriate amounts of nutrients and protect plants in the most sustainable ways.
The data can show farmers how to use natural fertilization crops that cost less to produce and properly utilize the natural benefits of soil and environment to create produce with high level of phytonutrients. Collecting all data with climate change to create new intelligence, insight and guidance for the farmer. Gives farmers the data to act in a more timely manner to avoid major crop damage.
Danilo Leao the founder of Brazilian owned company BovControl is planning to create a platform that measures the “internet of cows.” Instead of having to manually track animals, like it has been in the past, BovControl allows you to input the cow’s weight, age, sex, and vaccinations to use that data with ear tags and bluetooth equipped smart collars in order collect data and provide information for the most ideal dairy farming practices. With the help of the app, farmers can now know the precise date of birth for pregnant cows, the optimal milk production times, and other pertinent information that can help dairy farmers.
Until recently small scale farmers in the tropics had little or no access to accurate weather forecasts. Due to this, many farmers in Sub Saharan African communities were losing yields of precious produce, that led to severe loss of profits.
Using remote sensing data input, Ignitia is able to reduce cost on expensive infrastructure and expand weather predictions. Using this app, farmers can subscribe to daily, weekly and monthly weather forecasts that is customized based on the users GPS location as close as 3km by 3km. Ignitia, also provides information about optimal fertilizing and harvesting times so that farmers can make better choices and increase yields.
A Tel Aviv based company created by a team of computer scientists physicists and agronomists, Prospera uses computer vision technology to analyze the development and health of crops in a field. Using field data and sensor images, Prospera utilizes water management techniques, that ensures the plant’s health and survival without depleting important water resources. What’s more is that their technology allows for more precise pest detection, yield development and plant nutrient analysis.
(photo courtesy of FieldIn)