Archives for measuring crop health with deep learning
Agrochemical companies manufacture a range of offerings for yield maximisation, pest resistance, hardiness, water quality and availability and other challenges facing farmers. These companies need to measure the efficacy of their products in real-world conditions, not just controlled experimental environments. Single-crop farms are divided into plots and a specific intervention performed in each. For example,…
The post Measuring Crop Health Using Deep Learning – Notes From Tiger Analytics appeared first on Analytics India Magazine.

