Proceedings

Find matching any: Reset
Souza, J.B
Sarwar, M
Abdol Lajis, G
Add filter to result:
Authors
Nisa, M.U
Babar, I
Sarwar, M
Tauqir, N.A
Shahzad, M.A
Bejo, S
Abdol Lajis, G
Abd Aziz, S
Abu Seman, I
Ahamed, T
Freire de Oliveira, M.F
Ortiz, B.V
Souza, J.B
Bao, Y
Hanyabui, E
Topics
Precision Dairy and Livestock Management
Precision Crop Protection
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2018
2024
Home » Authors » Results

Authors

Filter results3 paper(s) found.

1. Influence Of Phosphorus Application With Or Without Nitrogen On Oat (Avena Sativa) Grass Nutritive Value And In Situ Digestion Kinetics In Buffalo Bulls

Fodder is the mainstay of ruminant production in majority of developing countries. However, its low yield and poor quality are considered considerable constrains which impede ruminant productivity. Fodder production and its nutritive value can be enhanced by ensuring adequate supply and utilization of nutrients... M.U. Nisa, I. Babar, M. Sarwar, N.A. Tauqir, M.A. Shahzad

2. Detecting Basal Stem Rot (BSR) Disease at Oil Palm Tree Using Thermal Imaging Technique

Basal stem rot (BSR), caused by Ganoderma boninense is known as the most damaging disease in oil palm plantations in Southeast Asia. Ganoderma could reduce the productivity of oil palm plantations and potentially reduce the market value of palm oil in Malaysia. Early disease management of Ganoderma could prevent production losses and reduce the cost of plantation management. This study focuses on identifying the thermal properties of healthy and BSR-infected tree using a thermal imaging... S. Bejo, G. Abdol lajis, S. Abd aziz, I. Abu seman, T. Ahamed

3. 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