Smart indoor farms: Leveraging technological advancements to power a sustainable agricultural revolution
Conventional farming necessitates a large number of resources and infrastructure such as
land, irrigation, manpower to manage farms, etc. Modern initiatives are required to automate …
land, irrigation, manpower to manage farms, etc. Modern initiatives are required to automate …
Global research trends for unmanned aerial vehicle remote sensing application in wheat crop monitoring
Wheat is an important staple crop in the global food chain. The production of wheat in many
regions is constrained by the lack of use of advanced technologies for wheat monitoring …
regions is constrained by the lack of use of advanced technologies for wheat monitoring …
Wheat yield estimation using remote sensing indices derived from sentinel-2 time series and google earth engine in a highly fragmented and heterogeneous …
In Morocco, monitoring and estimation of wheat yield at the regional and national scales are
critical issues for national food security. The recent Sentinel-2 imagery offers potential for …
critical issues for national food security. The recent Sentinel-2 imagery offers potential for …
Multi-sensors remote sensing applications for assessing, monitoring, and map** NPK content in soil and crops in African agricultural land
Demand for agricultural products is increasing as population continues to grow in Africa. To
attain a higher crop yield while preserving the environment, appropriate management of …
attain a higher crop yield while preserving the environment, appropriate management of …
Multispectral UAV data for detection of weeds in a citrus farm using machine learning and Google Earth Engine: Case study of Morocco
HS El Imanni, A El Harti, EM Bachaoui… - Remote Sensing …, 2023 - Elsevier
Accurate and timely weed map** between and within trees is considered one of the major
challenges in the site-specific weed management systems. This research presents the first …
challenges in the site-specific weed management systems. This research presents the first …
Characterizing and predicting the quality of milled rice grains using machine learning models
L de Oliveira Carneiro, PC Coradi, DM Rodrigues… - AgriEngineering, 2023 - mdpi.com
Physical classification is the procedure adopted by the rice unloading, delivery, storage, and
processing units for the commercial characterization of the quality of the grains. This step …
processing units for the commercial characterization of the quality of the grains. This step …
[HTML][HTML] Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
J Yuan, Y Zhang, Z Zheng, W Yao, W Wang, L Guo - Drones, 2024 - mdpi.com
Preharvest crop yield estimation is crucial for achieving food security and managing crop
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …
The spatial variability of NDVI within a wheat field: Information content and implications for yield and grain protein monitoring
Wheat is a staple crop that is critical for feeding a hungry and growing planet, but its nutritive
value has declined as global temperatures have warmed. The price offered to producers …
value has declined as global temperatures have warmed. The price offered to producers …
Forests and woodlands in Morocco: Review of historical evolution, services, priorities for conservation measures and future research
S Serbouti, A Ettaqy, H Boukcim… - International Forestry …, 2023 - ingentaconnect.com
Forests and woodland ecosystems in Morocco play a crucial role in maintaining biodiversity
and providing ecological and economic services. Despite advances in administration …
and providing ecological and economic services. Despite advances in administration …
Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency
Unmanned Aerial Systems (UASs) are increasingly vital in precision agriculture, offering
detailed, real-time insights into plant health across multiple spectral domains. However, this …
detailed, real-time insights into plant health across multiple spectral domains. However, this …