What is satellite crop monitoring? Satellite crop monitoring is an agricultural technology that facilitates the farmer to monitor the real-time crop vegetation index using spectral analysis of high-resolution satellite images from different fields and also set of crops which therefore enables the farmer to track the crop development in the field. In monitoring crop development, a farmer will observe positive growth, a scenario that is desirable and a wish of every farmer. In other cases, however, a farmer may detect negative events, but he is able to take measures early.
Agriculture is an economic activity that is being practiced by many countries internationally. Through different agricultural activities both livestock keeping and farming has resulted in the economic growth of many nations globally. Besides, agriculture is the source of livelihood in most households worldwide. However, agricultural keeps on advancing every through various technology system that is the current agriculture will be different from the future. It is anticipated that the future farming will result in increases yield of crop production and reduced adverse effects on the crops. As a result, the next agriculture will focus on crop monitoring, drones, as well […]
Satellite crop monitoring has resulted in many developments in the agricultural industry. Among many other uses, satellite monitoring is suitable for precise weather forecast on your farm location based on concrete field coordinates. Along with other developments in remote sensing applications, data from satellite monitoring has become one of the critical sources of data in monitoring large-scale crop condition that is focusing on vegetation index analysis.
To meet global food demand by 2050, agriculture efficiency must increase by 35% – 70% and technology is the key. at Farmkonnect we believe the world doesn’t need more farmers rather we need more efficient farmers. Big Data revolution together with machine learning and Artificial intelligence would help farmers make better decisions and bring about an astronomical improvement in Nigerian agriculture. For farm produce to get to the table, it has to travel through multiple intermediaries, involving multiple variables and hence multiple decision making at every single level. At the same time, at every single level, enormous data is generated. […]