Machine Learning for Detection and Prediction of Crop Diseases and Pests: A Comprehensive Survey
www.mdpi.com/2077-0472/12/9/1350
1 Users
0 Comments
76 Highlights
0 Notes
Tags
Top Highlights
metabolic rate of insects increases
based on the analysis of images images acquired by drones connected to IoT systems
event forecasting, detection of diseases, and management of water and soil.
big data analysis methods
loss of biodiversity
doubling of the current worldwide crop productivity
Pests and diseases
automatic detection
identification
prediction of pests and diseases
from the data
classification
detection
prediction
tomato crops
smart farming and precision agriculture
decrease the use of pesticides and chemicals
better medical care
high infant mortality
9.7 billion in 2050
Ready to highlight and find good content?
Glasp is a social web highlighter that people can highlight and organize quotes and thoughts from the web, and access other like-minded people’s learning.