Results 41 to 50 of about 144,958 (323)

Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling

NDT - Journal of Non-Destructive Testing
Weeds cause significant yield and economic losses by competing with crops and increasing production costs. Compounding these challenges are labor shortages, herbicide resistance, and environmental pollution, making weed management increasingly difficult.
Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya   +5 more
doaj   +2 more sources

Effects of drone-assisted precision weed management on irrigated barnyard millet

Plant Science Today
The research experiment was conducted during the 2023-24 rabi season, to examine the impact of herbicide dosage and spray volume applied through drones on weed control efficiency, aiming to enhance production and maintain soil and plant health in barnyard millet. The study took place at ADAC&RI, TNAU, Tiruchirappalli, Tamil Nadu, India.
V. V. Sangeetha Jebalin, S Rathika, T Ragavan, M. Baskar, P. Jeyaprakash, T. Ramesh, S. Vallal Kannan, K. Sakthivel   +7 more
openalex   +3 more sources

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Computers and Electronics in Agriculture, 2019
Victor Partel, Sri Charan Kakarla, Yiannis Ampatzidis   +2 more
openalex   +2 more sources

Smart weed recognition in saffron fields based on an improved EfficientNetB0 model and RGB images [PDF]

Scientific Reports
Smart weed-crop discrimination is crucial for modern precision weed management. In this study, we aimed to develop a robust system for site-specific weed control in saffron fields by utilizing color images and a deep learning approach to distinguish ...
Hassan Makarian, Seyed Iman Saedi, Hossein Sahabi   +2 more
doaj   +2 more sources

Weed Identification and Management in Maize: A Smart System for Precision Weed Control

International Research Journal of Modernization in Engineering Technology and Science, 2023
Shivraj Anandi, L Ngoune Tandzi, C Mutengwa, E Ngonkeu, V Gracen, J Gao, D Nuyttens, P Lootens, Y He, J Pieters, F Yeganehpoor, S Salmasi, G Abedi, F Samadiyan, V Beyginiya, R Kamath, M Balachandra, S Prabhu, E Hamuda, M Glavin, E Jones, H Wang, W Liu, K Zhao, H Yu, J Zhang, J Wang, R Kamath, M Balachandra, A Vardhan, U Maheshwari, M Louargant, G Jones, R Faroux, J Paoli, T Maillot, C Ge, S Villette, L Pott, T Amado, R Schwalbert, E Sebem, M Jugulam, I Ciampitti, R Gerhards, S Christensen, S Christensen, T Heisel, A Walter, E Graglia, A Monteiro, S Santos, N Nikolic, D Rizzo, E Marraccini, A Ayerdi Gotor, P Mattivi, P Saulet, A Persichetti, R Masin, A Wang, W Zhang, X Wei, Y Xu, R He, Z Gao, C Li, Y Zhai, Y Jiao, H Liu, H Sun, M Li, M Iida, M Prez-Ortiz, J Pea, P Gutirrez, J Torres-Snchez, C Hervs-Martnez, F Lpez-Granados, A Bakhshipour, A Jafari, P Herrera, J Dorado, A Ribeiro, Z Wu, Y Chen, B Zhao, X Kang, Y Ding   +88 more
openalex   +2 more sources

Sustainable Farming through Precision Agriculture: Enhancing Nitrogen Use and Weed Management

The integration of digital tools to agriculture became more important than ever because of food security concerns and climate change. Real-time soil and crop monitoring systems, such as field sensors, spectral cameras, decision-making platforms and autonomous robots have significant potential to determine anomalies and optimize crop management ...
Mehmet Hadi Süzer, Mehmet Şenbayram, Mehmet Alı Çullu   +2 more
openalex   +2 more sources

Influence of nutrient and weed management on weed dynamics and productivity of upland rice (Oryza sativa)

The Indian Journal of Agricultural Sciences, 2021
The field experiment was conducted during kharif 2019 at ICAR-CURRS-NRRI at Hazaribagh, Jharkhand. The experiment was conducted to evaluate precision nutrient management and weed management practices for achieving minimum weed menace and maximum crop ...
SMRUTI RANJAN PADHAN, SANJAY SINGH RATHORE, S M PRASAD, R K SINGH, KAPILA SHEKHAWAT   +4 more
doaj   +1 more source

CROP AND WEED SEGMENTATION ON GROUND-BASED IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORK [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Weed management is of crucial importance in precision agriculture to improve productivity and reduce herbicide pollution. In this regard, showing promising results, deep learning algorithms have increasingly gained attention for crop and weed ...
H. Fathipoor, R. Shah-Hosseini, H. Arefi
doaj   +1 more source

Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review

Computers and Electronics in Agriculture
Arjun Upadhyay, Yu Zhang, Cengiz Koparan, Nitin Rai, Kirk Howatt, Sreekala G. Bajwa, Xin Sun   +6 more
openalex   +2 more sources

Effect of varying training epochs of a Faster Region-Based Convolutional Neural Network on the Accuracy of an Automatic Weed Classification Scheme

Smart Agricultural Technology, 2023
Site-specific weed detection and management is a crucial approach for crop production management and herbicide contamination mitigation in precision agriculture. With the advent of unmanned aerial vehicles (UAVs) and advances in deep learning techniques,
Oluibukun Gbenga Ajayi, John Ashi
doaj   +1 more source