[HTML][HTML] Precision agriculture using IoT data analytics and machine learning

R Akhter, SA Sofi - Journal of King Saud University-Computer and …, 2022 - Elsevier
In spite of the insight commonality may have concerning agrarian practice, fact is that
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …

Precision farming at the nexus of agricultural production and the environment

R Finger, SM Swinton, N El Benni… - Annual Review of …, 2019 - annualreviews.org
Precision farming enables agricultural management decisions to be tailored spatially and
temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a …

Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods

L He, W Fang, G Zhao, Z Wu, L Fu, R Li… - … and Electronics in …, 2022 - Elsevier
Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …

Agricultural robotics: the future of robotic agriculture

T Duckett, S Pearson, S Blackmore, B Grieve… - arXiv preprint arXiv …, 2018 - arxiv.org
Agri-Food is the largest manufacturing sector in the UK. It supports a food chain that
generates over {\pounds} 108bn pa, with 3.9 m employees in a truly international industry …

Image segmentation for fruit detection and yield estimation in apple orchards

S Bargoti, JP Underwood - Journal of Field Robotics, 2017 - Wiley Online Library
Ground vehicles equipped with monocular vision systems are a valuable source of high‐
resolution image data for precision agriculture applications in orchards. This paper presents …

Deep learning techniques for estimation of the yield and size of citrus fruits using a UAV

OE Apolo-Apolo, J Martínez-Guanter, G Egea… - European Journal of …, 2020 - Elsevier
Accurate and early estimation of citrus yields is important for both producers and agricultural
cooperatives to be competitive and make informed decisions when selling their products …

Recognition of bloom/yield in crop images using deep learning models for smart agriculture: A review

B Darwin, P Dharmaraj, S Prince, DE Popescu… - Agronomy, 2021 - mdpi.com
Precision agriculture is a crucial way to achieve greater yields by utilizing the natural
deposits in a diverse environment. The yield of a crop may vary from year to year depending …

Apple flower detection using deep convolutional networks

PA Dias, A Tabb, H Medeiros - Computers in Industry, 2018 - Elsevier
To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be
removed early in the growing season. The proportion to be removed is determined by the …

Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches

C Zhang, J Valente, L Kooistra, L Guo, W Wang - Precision agriculture, 2021 - Springer
Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

Instance segmentation of apple flowers using the improved mask R–CNN model

Y Tian, G Yang, Z Wang, E Li, Z Liang - Biosystems engineering, 2020 - Elsevier
Highlights•An improved Mask R–CNN model processed by U-Net method.•Realising
instance segmentation of apple flowers in three different growth stages.•Combining growth …