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PCC July-August 2020

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Continued from Page 16<br />

marketable fruit yields in the IC and<br />

standard cultivator treatments of 44,045<br />

and 50,217 lbs./A, respectively (P>0.05).<br />

Similarly, there were no differences<br />

between the cultivators in their effect on<br />

lettuce yields (P>0.05) (Table 1). Yield<br />

data were analyzed both as the number<br />

of marketable lettuce heads per acre and<br />

fresh weights.<br />

Weed/Crop Differentiation. One of<br />

the biggest challenges for automated<br />

intra-row cultivation is to enable a computer<br />

and vision system to differentiate<br />

between crops and weeds at normal field<br />

travel speeds. The commercially available<br />

IC ‘Robovator®’ uses pattern recognition<br />

to recognize the crop row and can<br />

perform intra-row weeding at speeds of<br />

1 mph (Lati et al. 2016). However, this requires<br />

a distinct crop pattern best found<br />

such as in a transplanted field where<br />

the crop is much larger than the weeds<br />

and the crop stand is consistent. Further,<br />

when high weed densities obscure the<br />

2-dimensional crop row pattern, the intra-row<br />

weeding program does not work.<br />

Two types of crop signals were tested,<br />

Solutions for the Earth<br />

physical plant labels and topical markers.<br />

The methods have very low false positive<br />

error rates and the classification accuracy<br />

achieved for both techniques approaches<br />

100%. The crop signaling technique appears<br />

to be effective in creating a reliable<br />

method for automatic detection of crop<br />

plants in vegetable fields with high weed<br />

densities. Crop signaling technology<br />

could facilitate development of automated<br />

weed control robots that are as<br />

accurate in crop/weed differentiation as<br />

human workers are.<br />

A recommendation for future work is to<br />

develop a commercially viable marking<br />

method that is machine readable, yet<br />

does not contaminate harvested produce<br />

or the field soil and subsequent rotational<br />

crops. For transplanted stem crops like<br />

tomato, a biodegradable machine-readable<br />

tag attached to each stem as the<br />

transplanter sets the plants should be<br />

explored for commercial potential.<br />

Lettuce will probably require a machine-readable<br />

label attached to the first<br />

true leaves or a machine-readable label<br />

on the fiber-coated plant plug as it is set<br />

in the soil as is done with the Plant Tape®<br />

(www.planttape.com) system of vegetable<br />

transplanting.<br />

DON’T FORGET THE SEASOL...<br />

Increases Nutrient Uptake Efficiency<br />

Increases Yield for a Bountiful Crop<br />

Decreases Saline Stress<br />

Improves Environment for Soil<br />

Microbial Activity<br />

Conventional and Organic Products Available<br />

View the Full Study at<br />

earthsol.ag/crops<br />

Regardless of the technology used for<br />

crop weed differentiation, development<br />

of intelligent weed removal technology<br />

has improved weed control programs for<br />

horticultural crops that continue to rely<br />

on a limited number of herbicides and<br />

hand weeding. However, there is much<br />

more to do to improve vegetable weed<br />

control.<br />

Acknowledgments. Thanks to the<br />

USDA Institute of Food and Agriculture<br />

Specialty Crop Research Initiative (US-<br />

DA-NIFA-SCRI-004530), the California<br />

Tomato Research Institute and the California<br />

Leafy Greens Research Program<br />

for financial support.<br />

References<br />

Lati, R.N., M.C. Siemens, J.S. Rachuy, and S.A.<br />

Fennimore. 2016. Intra-row Weed Removal in<br />

Broccoli and Transplanted Lettuce with an Intelligent<br />

Cultivator. Weed Technology 30:655-663<br />

WATER<br />

SEASOL<br />

www.earthsol.ag<br />

Comments about this article? We want<br />

to hear from you. Feel free to email us at<br />

article@jcsmarketinginc.com<br />

18 Progressive Crop Consultant <strong>July</strong> / <strong>August</strong> <strong>2020</strong>

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