New tool helps users track fruit-plant readiness for growing season
Growers now can more closely monitor accumulated chilling hours, an important factor that tracks how long fruit plants have been exposed to an ideal range of cool temperatures throughout the dormant season.
Addressing the Challenges of Data Silos in Agriculture
The Data Hub allows researchers, innovators, and industry professionals to access publicly available data to enable data-driven decisions and increase profitability for farmers by breaking down data silos.
Precision Agriculture: A Closer Look at Equipment for Data-Driven Farming
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In the 21st century, farming has become more efficient because of precision agriculture. Here's a guide on precision farming, its equipment and what professionals must consider when adopting this technology.
The Future Landscape: Emerging Technologies and Precision Farming SaaS for Indian Agriculture
The adoption of emerging technologies and SaaS for precision farming is still in its early stages in India, but it is growing rapidly. With the sector witnessing high technological advancements that are affordable, it is set to revolutionize Indian agriculture.
Revolutionizing Farming with AI: How Advanced Weather Stations Are Empowering Farmers
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American crop yields are experiencing extreme difficulty due to repeated droughts and other extreme weather events. 2012 was a new low in terms of yields and, according to the Washington Post, 2022 was just as bad with 2023 matching those levels.
DIGITAL TRANSFORMATION IN FARMING: USING TECHNOLOGY TO PROPEL ENVIRONMENTAL PROTECTION
When old project management is engrained, but not working, how do you even begin to adopt new software? Practicalities aside, how can the transition be designed to be cost-effective?
Data-Driven Technology: Transforming the Agriculture Industry
This article explores how data-driven technology is reshaping the agriculture industry, paving the way for a more sustainable and efficient future.
Fieldin Partners With Fruitspec to Provide Yield Inventory Technology to Apple Growers in the Pacific Northwest
FruitSpec's innovative technologies automatically track fruit sizes and quantities throughout the growing season so growers, packing houses and sales desks can better align fruit inventories to meet market demands.
Solving the Farming Industry's Information Overload Problem
On the outside, it would seem that ag-tech is having its 2009 Apple iPhone moment, quipping "there's an app for that", but as commercial farmers are beginning to realize, having access to too much information can sometimes be as detrimental as having no information at all.
Leveraging Data Analytics for Higher Agricultural Yields
Agricultural yields must improve, but farms can't expand the way they have for much of their history. The solution to this problem is data analytics.
Wageningen University, IFA, and Agmatix Collaborate in an Ongoing Project to Analyse Crop Nutrients
This data will be used to improve our understanding of ongoing trends in crop nutrient uptake and removal and make it easier to create decision support systems to determine how to optimize crop production in a sustainable way under changing environmental conditions.
Pure Green Farms Chooses iUNU's LUNA Platform to Advance Automation and AI
Pure Green Farms uses innovative technology and proprietary data to grow high quality produce that consumers can trust. With LUNA, Pure Green Farms gives comfort to retailers with visual plant provenance, establishing a high bar of safety for its products.
Supercharge Your Scouting: Connect to the Best in Field Imagery
Scouting technology has never been more advanced. But this added sophistication does not mean field health imagery tools are more complicated or unfriendly.
Data Trends in Agribusiness
The future of agritech and the ag retailer/client relationship ultimately depends on learning from all the data available. The information gathered is vital for both farmers and their retailers.
Enhanced Zoning Using Multiple Sources of Data
With advancements in satellite technology, imagery can be taken from peak biomass to create a zone map based on how the crop performs out in the field. These maps generally look very close to how the yield map will look after harvest.
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