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Wouters, N
Bao, Y
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Authors
Wouters, N
Van Beers, R
De Ketelaere, B
Deckers, T
De Baerdemaeker, J
Saeys, W
Freire de Oliveira, M.F
Ortiz, B.V
Souza, J.B
Bao, Y
Hanyabui, E
Topics
Sensor Application in Managing In-season CropVariability
Artificial Intelligence (AI) in Agriculture
Type
Oral
Year
2014
2024
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1. Towards Automated Pneumatic Thinning Of Floral Buds On Pear Trees

Thinning of pome and stone fruit is an important horticultural practice that is used to enhance fruit set and quality by removing excess floral buds. As it is still mostly conducted through manual labor, thinning comprises a large part of a grower’s production costs. Various thinning machines developed in recent years have clearly demonstrated that mechanization of this technique is both feasible and cost effective. Generally, these machines still lack sufficient selectivity... N. Wouters, R. Van Beers, B. De Ketelaere, T. Deckers, J. De Baerdemaeker, W. Saeys

2. Towards a Digital Peanut Profile Board: a Deep Learning Approach

Artificial intelligence techniques, particularly deep learning, offer promising avenues for revolutionizing object detection and counting algorithms in the context of digital agriculture. The challenges faced by peanut farmers, particularly the precise determination of optimal maturity for digging, have prompted innovative solutions. Traditionally, peanut maturity assessment has relied on the Peanut Maturity Index (PMI), employing a manual classification process with the aid of a peanut profile... M.F. Freire De Oliveira, B.V. Ortiz, J.B. Souza, Y. Bao, E. Hanyabui