Agriculture is the backbone of any country for its economic growth. Agriculture doesn’t mean growing crops and feeding the people. If we want to discuss a proper agricultural system, then we must opt for sustainable agriculture, which means growing crops in a way that will not harm the soil and environment. Also, crops can be grown continuously for future generations. Sustainable agriculture also states that crops can be grown in a better-managed way to produce less harm and maximum yield. Moreover, due to climate change, some regions are affected by dry or drought-hit conditions. So, a better-planned agriculture system needs to be done where we can use some agriculture-related sensors and predict the risk in advance. Sensors such as EC-5, EC-TE, Hydro Probe II, Wi-Fi POGO, Echo20, etc., can be used to detect soil moisture, salinity, temperature, humidity, and water content. Similarly, some sensors are used for estimation and intensity of rainfall, such as Rainbird RSD-CEx, tipping bucket type rain gauge, 237-L sensor, etc. Some sensors are used for plant parameters. These include canopy sensor, LoRaWan, WSN, PAM-imaging sensor, LT-2M, etc., which can be used to analyze water stress factor, crop yield, growth, leaf wetness, Fv/Fm, chlorophyll, and photosynthesis. Some sensors are used for pesticide detection, such as GO/rGO biosensors and 237-L sensors. There are also some sensors that are helpful in monitoring various meteorological parameters, such as SHT71, SHT75, XFAM-115KPASR, MSO, HMP45C, and so on. These sensors can be proved to be a useful tool in the agriculture scenario where, even in extreme stress conditions, these work well by predicting earlier.
