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.

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.

Danish "Robot Hands" Pack Delicate Herbs

The two "fingers" of the robot gripper have built-in intelligence and advanced technology that mimics the way humans instinctively use our sense of touch when we grab things to move them.

Indoor Gardening is a Great Experience

Almost any plant can be successfully grown indoors. You'll 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.

Automating Agriculture: How Automation and Robotics Have Taken to the Fields

The technological advances in agriculture are not just to do with social media savvy cows - the global agricultural robots market was estimated to account for a market revenue of $2,927 million in 2016, but is expected to rocket to $11,050 million in 2023.

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.

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

Agricultural robots and drones to become a $45Bn industry by 2038

Robotic technology is quietly transforming the world of agriculture. In this article, we describe how this market will plausibly grow to become a $45Bn industry by 2038. We will also demonstrate how diverse this emerging industry is in terms of forms, functions and fortunes.

Startup Stories: Remote Controlled Farming

Our small size has forced us to implement a wide range of innovative technical solutions in the sector, that allows us to offer services of similar quality to those of a big company with just a fraction of its infrastructure.

Expected Harvest Moisture in Corn Seed Selection

With cash corn fetching a measly $2.85/bushel in our area early this winter, every percentage point of moisture that needs to be removed from the crop has a financial impact equivalent to a yield loss of about 1.75%.

Big Green Plan to Build Learning Gardens and Food Literacy Programs in 100 Schools

Gordon Food Service, Pathways Foundation, Carole Ilitch, others have collectively given $2 million toward a $5 million effort to ensure a healthier future for kids in Detroit.

IoT Applications in Agriculture

The IoT agricultural applications are making it possible for ranchers and farmers to collect meaningful data. Large landowners and small farmers must understand the potential of IoT market for agriculture by installing smart technologies to increase competitiveness

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