Sentera Adds Gimbaled NDVI Data Capture to DJI Phantom 4 Drone Series
Sentera's latest offering will help ag professionals collect more uniform normalized difference vegetative index (NDVI) or normalized difference red edge (NDRE) data across a wider range of operating and environmental conditions.
Pegasus Food Futures Introduce Ground-breaking Farming Technique
They unveiled plans to use artificial intelligence to improve the efficiency and reduce the costs of hydroponic farming as well as to optimise the nutritional value of the crops.
Some Deep Learnings from Applying Deep Learning
To build a robust deep learning model, it can be much more than training or fine tuning some existing models (e.g. inception v3, resnet, LSTM, etc.) with your own dataset. These winning models are your best friend and can usually serve as base models.
Smart irrigation scheme cuts water use and boosts crop yields - scientists
BT: The micro-irrigation system, which is being trialled on a farm in Tamil Nadu, southern India, has cut water use by up to 80% and doubled the yields of some crops, the scientists from Heriot-Watt University in Edinburgh said.
TRIMBLE BECOMES LATEST PARTNER TO JOIN THRIVE AGTECH VENTURE & INNOVATION PLATFORM
The new relationship between Trimble and SVGs THRIVE platform signifies the continued commitment to advancing a safer and more sustainable agriculture supply chain and to providing innovative solutions to farmers and their production partners worldwide.
Mapping Potassium Deficiency: Table Grapes in the San Joaquin Valley
Growers know their crop and the pitfalls that diminish yield quality and quantity. Walking the field garners valuable information, but not all problems are visible to the naked eye, especially during early stages of a pest infestation, disease onset, or nutrient deficiency.
Using NDVI to Validate Fungicide Treatments in Barley
In this study, calibrated NDVI values showed a strong correlation with the level of disease visually scouted by researchers in the field. In fact, the NDVI map was able to successfully indicate differences in barley yield between the treatments.
Why Silicon Valley should take ag tech more seriously
Arian Aghajanzadeh for GreenBiz: A 2015 report by McKinsey & Company stated that agriculture and hunting remain the least-digitized industries in the United States. However, farmers long have sought cost-effective tools to increase the efficiency of their fields.
Indoor Gardening is a Great Experience
Almost any plant can be successfully grown indoors. Youll need to do a little research to learn what crops will fit into your space and lighting availability. Herb gardens will grow in small spaces and in low light conditions.
Dealing with and preventing fly-tipping
Louise Richardson writing on behalf of Lycetts: Fly-tipping is a large problem for many across the UK - not only for private residents, but also for corporations. We know that the problem exists, but few people know what to do about it when it happens to them.
Cargill brings facial recognition capability to farmers through strategic equity investment in Cainthus
Cargill and Cainthus intend to first focus on the global dairy segment, but will expand to other species, including swine, poultry and aqua over the next several months.
Smart Farm: Creating the Farm and Farmworkers of the Future
Andy Fell for UC Davis: "Smart Farm is about addressing the grand challenges in agriculture, using technology to increase production of food and renewable energy in the face of a changing climate,"
Nitrogen Application Study on Corn: How UAVs Can Benefit Crops
At the end of the day, the process of scouting a field still takes time. But drones can deliver an 80-95% better success rate of finding issues in the field. They provide precision ag with an efficient, cost-effective manner of scouting.
Automation Is Coming…and 9 Other Things You Need to Know About Indoor Farming
When asked about the technologies growers are looking to invest in this year, most farmers selected data and analytics; climate control systems ranked second.
Detecting Weeds with MicaSense Atlas and RedEdge
The weed detection layers in MicaSense Atlas are designed to help growers identify and differentiate weeds from planted crops based on plant chlorophyll content. Each layer has a different combination of bands and color composite
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