Advanced DeepLabv3+ Algorithm Enhances Safflower Filament Harvesting With High Accuracy

Jul 02, 2024

CRP

A research team has developed an improved DeepLabv3+ algorithm for accurately detecting and localizing safflower filament picking points. By utilizing the lightweight ShuffleNetV2 network and incorporating convolutional block attention, the method achieved high accuracy with a mean pixel accuracy of 95.84% and mean intersection over union of 96.87%.

This advancement reduces background interference and enhances filament visibility. The method shows potential for improved harvesting robot performance, offering promising applications for precise filament harvesting and agricultural automation.

Safflower is a crucial crop for various uses, but current labor-intensive harvesting methods are inefficient. Existing research on flower segmentation using deep learning shows promise but struggles with near-color backgrounds and blurred contours.

A study published in Plant Phenomics on 7 May 2024. This study addresses these challenges by proposing a filament localization method based on an improved DeepLabv3+ algorithm, incorporating a lightweight network and attention modules.

To improve the algorithm's performance and decrease overfitting, the SDC-DeepLabv3+ algorithm was trained with an initial learning rate of 0.01, a batch size of eight, and 1,000 iterations. Using the SGD optimizer, the learning rate was adjusted if accuracy did not increase within 15 rounds.

The training process showed a rapid decrease in loss value in the first 163 rounds, stabilizing after 902 rounds. The mean pixel accuracy (mPA) reached 92.61%, indicating successful convergence. Ablation tests revealed that integrating ShuffletNetV2 and DDSC-ASPP improved the mean intersection over union (mIoU) to 95.84% and mPA to 96.87%.

Compared to traditional DeepLabv3+, the enhanced algorithm reduced parameters and increased FPS, highlighting its efficiency. Further comparisons showed that SDC-DeepLabv3+ outperformed other segmentation algorithms, achieving higher accuracy and faster prediction speeds.

Tests under various weather conditions confirmed the algorithm's robustness, with the highest success rates for filament localization and picking observed on sunny days. Depth-measurement tests identified an optimal range of 450–510 mm, minimizing visual-localization errors. The improved algorithm demonstrated significant potential for precise and efficient safflower harvesting in complex environments.

According to the study's lead researcher, Zhenguo Zhang, "The results show that the proposed localization method offers a viable approach for accurate harvesting localization."

Click here to see more...

Video: Turning Plant Defense Into a Management Strategy

Turning Plant Defense Into a Management Strategy

Understanding how a plant responds to stress is one thing.

Using that knowledge to make better management decisions is another.

Systemic acquired resistance, or SAR, is the plant's more direct defense response. When stress or infection occurs, the plant begins signaling throughout its system and preparing defensive compounds.

But if we know that response exists, can we help prepare the plant before the stress arrives?

The answer starts with understanding what triggers the response and what the plant needs to carry it out.

The Trigger and the Fuel

Salicylic acid plays an important role in triggering the SAR pathway.

Think of it as turning the truck on.

The engine may be running, but it still needs fuel to do the work.

In this case, manganese plays an important role in supporting the enzyme systems involved in the plant's defensive response.

This makes manganese status an important part of the conversation. Whether a producer is using tissue testing, sap analysis, or simply scouting for visible deficiency symptoms, the goal is to make sure the plant has adequate manganese available.

Manganese is required in relatively small amounts, but that does not make its role small.

If the plant receives a signal to defend itself but lacks the nutrition needed to support that response, it may struggle to carry out the process efficiently.

The trigger matters.

The fuel matters too.

Prepare Before the Stress Arrives

The best time to think about stress management is before the plant is overwhelmed.

Once a crop is already struggling, management can quickly turn into a game of catch-up.

This is similar to nitrogen management. Once a plant becomes severely deficient, correcting the problem does not necessarily erase the time and yield potential already lost.

Plant defense can work the same way.

Low-rate, targeted approaches designed to support the SAR pathway may fit best ahead of an expected stress event rather than after significant damage has already occurred.

That requires producers to think about predictable stress.

We may not know exactly what the weather will do tomorrow, but we generally know summer heat is coming. We know certain field conditions increase disease pressure. We know a herbicide application can temporarily stress a crop as the plant processes the chemistry.

Even a properly timed and labeled herbicide application can create a temporary response in the plant.

That does not mean the herbicide is bad.

Weeds can create significantly more yield loss than the temporary stress caused by controlling them.

The question is not whether we should eliminate every stressor.

The question is whether we can better prepare the plant to manage necessary and predictable stress.

Not All Stress Is Bad

Stress is a normal part of plant growth.

A perfectly stress-free environment does not exist in the field.

In fact, some stress is necessary for normal plant development. A plant responds to wind, temperature, moisture, sunlight, and countless other environmental signals throughout the season.

The environment is stress.

The plant's job is to manage it.

Problems begin when the stress load becomes greater than the plant's ability to respond.

Extreme heat, drought, high salt concentrations, disease pressure, and even certain management practices can add to that load.

This is where understanding SAR becomes useful.

Instead of waiting until the plant is visibly struggling, producers can begin identifying periods when stress is likely and make management decisions around those windows.

ISR Starts With the Soil

While SAR is a more direct defense response, induced systemic resistance, or ISR, brings the conversation back to soil health.

The longevity of a farm is closely connected to the health of its soil.

Carbon plays a major role because it supports biological life within the soil. Bacteria, fungi, and other organisms interact with plant roots and influence how the plant grows, accesses nutrients, and prepares for stress.

This is why soil health cannot be reduced to one product or one application.

It is a system.

Keeping living plants in the field longer can support biological activity. Cover crops may fit some operations. Better water management can improve soil conditions.