Whiteboard Wednesday
- Video #20: How does AgroCares relate to precision agriculture?
- Video #19: How does our approach to soil testing differ from the traditional one?
- Video #18: What is the difference between vertical and horizontal heterogeneity?
- Video #17: How can agriculture adapt to climate change?
- Video #16: What are the negative effects of climate change on agriculture in Europe?
- Video #15: How do plant take up the nutrients in the soil?
- Video #14: Are all nutrients in the soil available for plant update?
- Video #13: Why are N, P and K important for plant growth?
- Video #12: What is the future of machine learning at AgroCares?
- Video #11: What is the advantage of machine learning for farmers?
- Video #10: How does AgroCares use prediction models to determine nutrients?
- Video #9: How does AgroCares use machine learning to predict soil and feed quality?
- Video #8: What does machine learning have to do with agriculture?
- Video #7: What is machine learning?
- Video #6: Why is it important to test soil quality?
- Video #5: Why do we combine MIR and XRF in our products?
- Video #4: Why do we implement NIR sensors in the AgroCares Scanner?
- Video #3: Are indirect measurements inferior to direct measurements?
- Video #2: How to take soil samples from a field with heterogeneous soil?
- Video #1: How many samples should be taken from a certain unit of land?