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Robotics, Guidance and Automation
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Authors
Al Amin, A
Behrendt, K
Canavari, M
DuPont, E.M
Franklin, K
Franklin, K.F
Gutteridge, M
Harsha Chepally, R
Kolar, P.R
Lowenberg‑DeBoer, J
Medici, M
Rossetti, G
Sharda, A
Topics
Robotics, Guidance and Automation
Type
Oral
Year
2022
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Filter results6 paper(s) found.

1. Synchronized Windrow Intelligent Perception System (SWIPE)

The practice of bale production, in forage agriculture, involves various machines that include tractors, tedders, rakers, and balers. As part of the baling process, silage material is placed in windrows, linearly raked mounds, to drive over with a baler for easy collection into bales. Traditionally, a baler is an implement that is attached on the back of a tractor to generate bales of a specific shape. Forage agricultural equipment manufacturers have recently released an operator driven, self... E.M. Dupont, P.R. Kolar

2. Economics of Field Size for Autonomous Crop Machines

Field size constrains spatial and temporal management of agriculture with implications for farm profitability, field biodiversity and environmental performance. Large, conventional equipment struggles to farm small, irregularly shaped fields efficiently. The study hypothesized that autonomous crop machines would make it possible to farm small non-rectangular fields profitably, thereby preserving field biodiversity and other environmental benefits. Using the experience of the Hands Free Hectar... A. Al amin, J. Lowenberg‑deboer, K. Franklin, K. Behrendt

3. Seed Localization System Suite with CNNs for Seed Spacing Estimation, Population Estimation and Doubles

Proper seed placement during planting is critical to achieve uniform emergence which optimizes the crop for maximum yield potential. Currently, the ideal way to determine planter performance is to manually measure plant spacing and seeding depth. However, this process is both cost- and labor-intensive and prone to human errors. Therefore, this study aimed to develop seed localization system (SLS) system to measure seed spacing and seeding depth and providing the geo-location of each planted s... A. Sharda, R. Harsha chepally

4. Agricultural Robots Classification Based on Clustering by Features and Function

Robotic systems in agriculture (hereafter referred to as agrobots) have become popular in the last few years. They represent an opportunity to make food production more efficient, especially when coupled with technologies such as the Internet of Things and Big Data. Agrobots bring many advantages in farm operations: they can reduce humane fatigue and work-related accidents. In contrast, their large-scale diffusion is today limited by a lack of clarity and exhaustiveness in the regulatory fram... M. Canavari, M. Medici, G. Rossetti

5. Agronomic Opportunities Highlighted by the Hands Free Hectare and Hands Free Farm Autonomous Farming Projects

With agriculture facing various challenges including population increase, urbanisation and both mitigating and managing climate change, agricultural automation and robotics have long been seen as potential solutions beyond precision farming. The Hands Free Hectare (HFH) and Hands Free Farm (HFF) collaborative projects based at Harper Adams University (HAU) have been developing autonomous farming systems since 2016 and have conducted multiple autonomous field crop production cycles since a wor... K.F. Franklin

6. Possibilities for Improved Decision Making and Operating Efficiency Derived from the Predictability of Autonomous Farming Operations

For the last 6 years, small autonomous agricultural vehicles have been operating on Harper Adams University’s fields in Shropshire.  Starting with a single tractor on a single rectangular hectare (2.5 acres) and moving on to three tractors on 5 irregularly shaped fields covering over 30 hectares (75 acres).  Multiple crops have been grown; planting, tending, and harvesting with autonomous tractors and harvesters.  The fields are worked using a Controlled Traffic Farming s... M. Gutteridge