A review on smart irrigation management strategies and their effect on water savings and crop yield
Appropriate irrigation water management has attracted a considerable degree of attention
because it is crucial to guarantee water and food security worldwide. A smart irrigation …
because it is crucial to guarantee water and food security worldwide. A smart irrigation …
Towards smart irrigation: A literature review on the use of geospatial technologies and machine learning in the management of water resources in arboriculture
Agriculture consumes an important ratio of the water reserve in irrigated areas. The
improvement of irrigation is becoming essential to reduce this high water consumption by …
improvement of irrigation is becoming essential to reduce this high water consumption by …
Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images
Above-ground biomass (AGB) is a significant phenotypic index for evaluating
photosynthesis capacity, healthy growth, and estimating crop yield. Accurately monitoring …
photosynthesis capacity, healthy growth, and estimating crop yield. Accurately monitoring …
Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)
Y Ji, Z Chen, Q Cheng, R Liu, M Li, X Yan, G Li… - Plant Methods, 2022 - Springer
Background Faba bean is an important legume crop in the world. Plant height and yield are
important traits for crop improvement. The traditional plant height and yield measurement …
important traits for crop improvement. The traditional plant height and yield measurement …
Rice seedling detection in UAV images using transfer learning and machine learning
To meet demand for agriculture products, researchers have recently focused on precision
agriculture to increase crop production with less input. Crop detection based on computer …
agriculture to increase crop production with less input. Crop detection based on computer …
UAV time-series imagery with novel machine learning to estimate heading dates of rice accessions for breeding
Timely monitoring of rice heading dates is essential for estimating growth status and grain
yield in rice breeding. This study aims to develop a machine learning method to classify …
yield in rice breeding. This study aims to develop a machine learning method to classify …
[HTML][HTML] A proposed plant classification framework for smart agricultural applications using UAV images and artificial intelligence techniques
Abstract Utilizing Wireless Sensor Networks (WSNs), Internet of Things (IoTs) sensors, and
Unmanned Aerial Vehicles (UAVs), in conjunction with optimization techniques and …
Unmanned Aerial Vehicles (UAVs), in conjunction with optimization techniques and …
More than two decades of research on IoT in agriculture: a systematic literature review
Purpose Agriculture is one sector where the Internet of things (IoT) is expected to make a
major impact. Yet, its adoption in the sector falls behind expectations. The purpose of this …
major impact. Yet, its adoption in the sector falls behind expectations. The purpose of this …
A drone technology implementation approach to conventional paddy fields application
This paper proposes an approach to implementing modern technology farming, namely
agricultural drones, to help farmers enhance crop spraying efficiency, with a case study on …
agricultural drones, to help farmers enhance crop spraying efficiency, with a case study on …
A UAV open dataset of rice paddies for deep learning practice
Recently, unmanned aerial vehicles (UAVs) have been broadly applied to the remote
sensing field. For a great number of UAV images, deep learning has been reinvigorated and …
sensing field. For a great number of UAV images, deep learning has been reinvigorated and …